From 659c23b7fcca3c1d3a871d92ac80ae797571e5b4 Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 17:49:00 +0200 Subject: [PATCH 1/7] adapted wording to match publication, slight text-wise improvements, one bug fix to display image --- .../bonemarrowwsi_pediatricleukemia.ipynb | 113 +++++++++--------- 1 file changed, 58 insertions(+), 55 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index 3dff650..d2e5049 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -25,8 +25,8 @@ "If you are new to IDC and DICOM for digital pathology applications, you may want to check out other introductory tutorials on this topic available here: https://github.com/ImagingDataCommons/IDC-Tutorials/tree/master/notebooks/pathomics.\n", "\n", "This tutorial is aimed for the users of Imaging Data Commons that are interested in **bone marrow smear analysis**. You will learn how to:\n", - "* select and access images and annotations of the comprehensive bone marrow collection `BoneMarrowWSI-PediatricLeukemia`\n", - "* parse and understand the available annotations stored in DICOM Bulk Simple Annotations (ANN) format\n", + "* select and access images and image-derived data (in this case, manual expert annotations) of the comprehensive bone marrow collection `BoneMarrowWSI-PediatricLeukemia`\n", + "* parse and understand the available content stored in DICOM Bulk Simple Annotations (MBSA/ANN) format\n", "\n", "To learn more about the IDC, please visit the [IDC user guide](https://learn.canceridc.dev).\n", "\n", @@ -46,20 +46,21 @@ "source": [ "## Background\n", "\n", - "The analysis of bone marrow aspirate smears serves as the foundation for assessing haematopoiesis (the process of blood cell formation in the bone marrow) and amongst other systemic diseses, the diagnosis of leukemia. This notebook introduces the `BoneMarrowWSI-PediatricLeukemia` collection, a commprehensive dataset of bone marrow smears and cell annotations. The dataset is presented in detail in [this preprint](https://www.arxiv.org/pdf/2509.15895) and is publicly available via the [Imaging Data Commons](https://portal.imaging.datacommons.cancer.gov/). \n", + "The analysis of bone marrow aspirate smears serves as the foundation for assessing haematopoiesis (the process of blood cell formation in the bone marrow) and amongst other systemic diseases, the diagnosis of leukemia. This notebook introduces the `BoneMarrowWSI-PediatricLeukemia` collection, a comprehensive dataset of bone marrow smears and cell annotations. The dataset is presented in detail in [this preprint](https://www.arxiv.org/pdf/2509.15895) and is publicly available via the [Imaging Data Commons](https://portal.imaging.datacommons.cancer.gov/). \n", "\n", - "- **Images**: The `BoneMarrowWSI-PediatricLeukemia` dataset comprises bone marrow aspirate smear WSIs for almost 250 pediatric cases of leukemia, including acute lymphoid leukemia (ALL), acute myeloid leukemia (AML), and chronic myeloid leukemia (CML). The smears were prepared for the initial diagnosis (i.e., without prior treatment), stained in accordance with the Pappenheim method, and scanned at 40x magnification.\n", - "- **Annotations**: The images have been annotated with rectangular regions of interest (ROI) of the evaluable monolayer area and more than 40000 cell bounding box annotations have been placed (with few exceptions) within the ROIs. For a subset of them all cells and other haematological structures have additionally been labelled by multiple experts in a consensus labeling approach with 49 distinct (cell type) classes. The consensus labelling approach worked as follows: each bounding box was successively labelled by different experts in so-called \"annotation sessions\" until (a) the bounding box had been labelled by at least two experts, and (b) the most frequent label had constituted at least half of all labels given to that bounding box (and had then been termed \"consensus class\"). In summary, the following annotations are available: \n", + "- **Images**: The `BoneMarrowWSI-PediatricLeukemia` dataset comprises bone marrow aspirate smear whole slide images (WSIs) for almost 250 pediatric cases of leukemia, including acute lymphoid leukemia (ALL), acute myeloid leukemia (AML), and chronic myeloid leukemia (CML). The smears were prepared for the initial diagnosis (i.e., without prior treatment), stained in accordance with the Pappenheim method, and scanned at 40x magnification.\n", + "- **Annotations**: The images have been annotated with rectangular regions of interest (ROIs) of the evaluable monolayer area and more than 40,000 cell bounding box annotations have been placed (with few exceptions) within the ROIs. For a subset of them all cells and other haematological structures have additionally been labeled by multiple experts in a consensus labeling approach with 49 distinct (cell type) labels. This approach had worked as follows: each bounding box had been successively labeled by different experts in so-called \"annotation sessions\" until (a) the bounding box had been labeled by at least two experts, and (b) the most frequent label had constituted at least half of all labels given to that bounding box (and had then been termed \"consensus\"). In summary, the following annotations are available: \n", "\n", - " - For each slide: ROI annotations of the monolayer area for each slide\n", + " - For each slide: ROIs of the monolayer area for each slide\n", " - For some slides: Unlabeled cell bounding boxes\n", " - For some slides: Cell bounding boxes with cell type labels for each annotation session plus the finally obtained consensus.\n", "\n", - "Both images and annotations are made available in the DICOM format. For the annotations, more specifically, the **DICOM Microscopy Bulk Simple Annotation format (ANN)** was used, which is one of multiple options to store pathology annotation data in DICOM. As a general introduction to this format, we recommend having a look at [this tutorial notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb).\n", - "This notebook demonstrates **how to access and explore** the `BoneMarrowWSI-PediatricLeukemia` collection with a focus on its extensive annotation data. \n", + "Both images and annotations are made available in the DICOM format. For the annotations, more specifically, the **DICOM Microscopy Bulk Simple Annotation format** (**MBSA**, often also abbreviated ANN after the corresponding DICOM `Modality` value) was used, which is one of multiple options to store pathology image-derived data in DICOM. As a general introduction to this format, we recommend having a look at [this tutorial notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb).\n", "\n", + "In the following, we demonstrate **how to access and explore** the `BoneMarrowWSI-PediatricLeukemia` collection with a focus on its extensive annotation data. \n", "\n", - "\"Example\n", + "\n", + "\"Example\n", "\n" ] }, @@ -71,7 +72,7 @@ "source": [ "## Prerequisites\n", "**Installations**\n", - "* **Install highdicom:** [highdicom](https://highdicom.readthedocs.io/en/latest/introduction.html) was specifically designed to work with DICOM objects holding image-derived information, e.g. annotations and measurements. Detailed information on highdicom's functionality can be found in its [user guide](https://highdicom.readthedocs.io/en/latest/usage.html).\n", + "* **Install highdicom:** [highdicom](https://highdicom.readthedocs.io/en/latest/introduction.html) was specifically designed to work with DICOM objects holding image-derived information, e.g. annotations and segmentations. Detailed information on highdicom's functionality can be found in its [user guide](https://highdicom.readthedocs.io/en/latest/usage.html).\n", "* **Install wsidicom:** The [wsidicom](https://pypi.org/project/wsidicom/) Python package provides functionality to open and extract image or metadata from WSIs.\n", "* **Install idc-index:** The Python package [idc-index](https://pypi.org/project/idc-index/) facilitates queries of the basic metadata and download of DICOM files hosted by the IDC." ] @@ -126,7 +127,7 @@ }, "source": [ "## Finding the `BoneMarrowWSI-PediatricLeukemia` dataset on IDC\n", - "To access and download image and ANNs files, we utilize the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in idc-index and what information you can query from them. " + "To locate and download slides and available annotations, we use the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM MBSA/ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in idc-index and what information you can query from them. " ] }, { @@ -138,8 +139,8 @@ "outputs": [], "source": [ "idc_client = IDCClient() # set-up idc_client\n", - "idc_client.fetch_index('ann_index') # fetch index for ANN objects\n", - "idc_client.fetch_index('ann_group_index') # fetch index for the AnnotationGroups within ANN objects" + "idc_client.fetch_index('ann_index') # fetch index for MBSA objects\n", + "idc_client.fetch_index('ann_group_index') # fetch index for the AnnotationGroups within MBSA objects" ] }, { @@ -148,7 +149,7 @@ "id": "0HEq03G4EFtv" }, "source": [ - "First, we count the number of slides (=distinct SeriesInstanceUIDs of SM modality) available in the `BoneMarrowWSI-PediatricLeukemia` collection." + "First, we count the number of slides (=distinct `SeriesInstanceUIDs` of SM modality) available in the `BoneMarrowWSI-PediatricLeukemia` collection." ] }, { @@ -188,7 +189,7 @@ "id": "1-ZR8MkhFqKX" }, "source": [ - "Let's have a look at the available annotation (ANN) files. The following query collects information about ANN files on series-level from idc-index's `ann_index` joining it with the general index table on `SeriesInstanceUID`." + "Let's have a look at the available MBSA files. The following query collects series-level information from the `ann_index` of idc-index, joined with the common index table on `SeriesInstanceUID`." ] }, { @@ -544,13 +545,13 @@ "id": "kBWUmv6qHZ48" }, "source": [ - "We can see, that for each slide (i.e. **referencedSeriesInstanceUID**) there are multiple ANN Series. All annotations have an **AnnotationCoordinateType** of \"2D\", meaning that the coordinates are two-dimensional coordinates in the image coordinate system (more information [here](https://highdicom.readthedocs.io/en/latest/package.html#highdicom.ann.AnnotationCoordinateTypeValues)). Looking at the **SeriesDescription**, we can assert what is described in the [Background](#Background) section of this notebook.\n", + "We can see, that for each slide (i.e. **referencedSeriesInstanceUID**) there are multiple MBSA series. All have an **AnnotationCoordinateType** of \"2D\", meaning that the coordinates are two-dimensional coordinates in the image-relative coordinate system (more information [here](https://highdicom.readthedocs.io/en/latest/package.html#highdicom.ann.AnnotationCoordinateTypeValues)). Looking at the **SeriesDescription**, we can assert what is described in the [Background](#Background) section of this notebook.\n", "\n", "* Each slide has \"Monolayer regions of interest for cell classification\" annotations.\n", - "* For some slides, there is one ANN Series with \"Unlabeled cell bounding boxes\", while for others, there are multiple ANN Series containing \"Cell bounding boxes with cell type labels\" for different annotation sessions and the consensus labels.\n", + "* For some slides, there is one MBSA series with \"Unlabeled cell bounding boxes\", while for others, there are multiple MBSA series containing \"Cell bounding boxes with cell type labels\" for different annotation sessions and the consensus labels.\n", "\n", - "ANN files contain one or multiple **\"AnnotationGroups\"** (for more explanation see the aforementioned [tutorial notebook]((https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)) on DICOM ANNs).\n", - "Using `ann_group_index` we can get a little more information on what the individual annotation groups contain exactly. The following code cell queries the AnnotationGroupLabel - a human-readable label for the annotation group - as well as [coded values from controlled vocabularies](https://learn.canceridc.dev/dicom/coding-schemes) such as SNOMED-CT for the category and type of the annotation.\n" + "MBSA files contain one or multiple **\"AnnotationGroups\"** (for more explanation see the aforementioned [tutorial notebook]((https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)) on DICOM MBSAs).\n", + "Using `ann_group_index` we can get a little more information on what the individual annotation groups contain exactly. The following code cell queries the `AnnotationGroupLabel` - a human-readable label for the annotation group - as well as [coded values from controlled vocabularies](https://learn.canceridc.dev/dicom/coding-schemes) such as SNOMED-CT for the category and type of the annotation.\n" ] }, { @@ -1348,11 +1349,11 @@ "id": "bQAkkmOEMSu9" }, "source": [ - "Relating the annotated objects to the SeriesDescription, we can see, that\n", + "Relating the annotated objects to the `SeriesDescription`, we can see, that\n", "\n", - "- ANN Series \"Monolayer regions of interest for cell classification\" contain only annotations with AnnotatedPropertyType \"Selected region\" and the human-readable label \"region_of_interest\".\n", - "- \"Unlabeled cell bounding boxes\" contain only annotations with property type \"Structure of haematological system\" and the human-readable label \"haematological_structure\"\n", - "- all other ANN Series contain various different AnnotatedPropertyTypes and human-readable labels.\n", + "- MBSA series \"Monolayer regions of interest for cell classification\" contain only annotations with `AnnotatedPropertyType` \"Selected region\" and the human-readable label \"region_of_interest\".\n", + "- \"Unlabeled cell bounding boxes\" contain only annotations with `AnnotatedPropertyType` \"Structure of haematological system\" and the human-readable label \"haematological_structure\"\n", + "- all other MBSA series contain various different `AnnotatedPropertyTypes` and human-readable labels.\n", "\n", "We will use this information below to filter for the monolayer ROIs and labeled vs. unlabeled cell annotations." ] @@ -1372,7 +1373,7 @@ "id": "a_-BRDWSF7A2" }, "source": [ - "Annotations can be viewed and explored in detail on its respective slide using the Slim viewer. In the Slim viewer's interface at the bottom of the right sidebar you may select the ANN Series of interest to you from the drop-down menue, then click on `Annotation Groups` and switch the slider(s) to make annotations visible." + "Annotations can be viewed and explored in detail on their respective slide using the Slim viewer. In the Slim viewer's interface at the bottom of the right sidebar you may select the MBSA series of interest to you from the drop-down menu, then click \"Annotation Groups\" and switch the slider(s) to display the content." ] }, { @@ -1432,7 +1433,7 @@ }, "source": [ "### Download complete annotation collection for local access\n", - "Since the complete set of annotation series is of reasonable size it could be downloaded completely using `idc_index` as shown below and then accessed from the local disk using `highdicom`." + "Since the complete set of MBSA series in the `BoneMarrowWSI-PediatricLeukemia` collection is of reasonable size, it could be downloaded completely using `idc_index` (see below) and then accessed from the local disk using `highdicom`." ] }, { @@ -1468,7 +1469,7 @@ "id": "bkGaAD9t6-Dg" }, "source": [ - "For guidance on how to read the downloaded annotation files see section \"Reading DICOM ANNs\" of [this tutorial notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)." + "For guidance on how to read the downloaded files go to the section \"Reading DICOM MBSAs\" in [this tutorial notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)." ] }, { @@ -1479,8 +1480,8 @@ "source": [ "### Access annotations directly from the Cloud\n", "\n", - "A more desirable approach especially for larger size datasets is to directly extract the relevant information from the objects in the cloud. The following functions `get_roi_annotations()` and `get_cell_annotations()` can be used for this approach. They extract and summarize ROIs respectively cell annotations in an easy to use pandas DataFrame.\n", - "Note, that the selection of the respective annotation files, i.e. files containing ROI annotations, labeled or unlabeled cell annotations, is done by filtering for the respective AnnotationPropertyTypes as determined above." + "A preferable approach, especially for larger size datasets, is to extract the relevant information directly from the objects in the cloud. The following functions `get_roi_annotations()` and `get_cell_annotations()` can be used for this approach. They extract and summarize ROIs respectively cell annotations in an easy-to-use pandas DataFrame.\n", + "Note that the selection of the respective MBSA files, i.e. files containing ROI annotations, labeled or unlabeled cell annotations, is done by filtering on `AnnotationPropertyType`, as inspected above." ] }, { @@ -1489,27 +1490,28 @@ "id": "XKzx9B1fU9ed" }, "source": [ - "The following two code cells define and use `get_roi_annotations()` to select all DICOM ANNs in the `BoneMarrowWSI-PediatricLeukemia` collection that contain ROI annotations of the monolayer area.\n", - "The resulting pandas DataFrame contains\n", - "- **'SeriesInstanceUID'**: SeriesInstanceUID of the DICOM ANN Series containing the ROI annotation\n", + "The following two code cells define and use `get_roi_annotations()` to select all DICOM MBSAs in the `BoneMarrowWSI-PediatricLeukemia` collection that contain ROI annotations of the monolayer area.\n", + "The resulting pandas DataFrame contains: \n", + "\n", + "- **'SeriesInstanceUID'**: SeriesInstanceUID of the DICOM MBSA series containing the ROI annotation\n", "- **'roi_id'**: the ID of the ROI\n", "- **'roi_human_label'**: its human-readable label \n", "- **'roi_label_code_scheme'**: Tuple of code of the ROI label and designator of the coding scheme used, e.g. (111099, DCM) which is code 111099 from the DICOM controlled terminology\n", "- **'roi_label'**: Code meaning of the ROI label\n", - "- **'roi_coordinates'**: the 2D coordinates in the image coordinate system of the referenced slide level\n", - "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from `ann_index` or read from the ANN file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here.\n" + "- **'roi_coordinates'**: the 2D coordinates in the image-relative coordinate system of the referenced slide level\n", + "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from `ann_index` or read from the MBSA file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here.\n" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": { "id": "IpLUim520o5B" }, "outputs": [], "source": [ - "def get_roi_annotations(ann_to_process: int = 10):\n", - " # Select all annotation groups from ANN series in the bonemarrowwsi_pediatricleukemia collection\n", + "def get_roi_annotations(to_process: int = 10):\n", + " # Select all annotation groups from MBSA series in the bonemarrowwsi_pediatricleukemia collection\n", " # whose AnnotationPropertyType is \"Selected region\" and AnnotationGroupLabel is \"region_of_interest\"\n", " query_roi_anns = f'''\n", " SELECT\n", @@ -1526,7 +1528,7 @@ " AND ag.AnnotationGroupLabel = 'region_of_interest'\n", " ORDER BY\n", " ag.SeriesInstanceUID\n", - " LIMIT {ann_to_process}\n", + " LIMIT {to_process}\n", " '''\n", " roi_series = idc_client.sql_query(query_roi_anns)['SeriesInstanceUID']\n", " rois = extract_rois(roi_series)\n", @@ -1565,7 +1567,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2172,8 +2174,8 @@ } ], "source": [ - "# This code will run longer as you increase the number of ANN files to be processed\n", - "rois = get_roi_annotations(ann_to_process=10)\n", + "# This code will run longer as you increase the number of files to be processed\n", + "rois = get_roi_annotations(to_process=10)\n", "display(rois)" ] }, @@ -2183,9 +2185,10 @@ "id": "gpDVBwjYWz-w" }, "source": [ - "The following code cells define and use `get_cell_annotations()` to select all DICOM ANNs in the `BoneMarrowWSI-PediatricLeukemia` collection that contain cell annotations. By setting the parameter 'subset' to either 'labeled', 'unlabeled' or 'both', it's possible to extract either only labeled, unlabeled or all cell annotations.\n", - "The resulting pandas DataFrame contains\n", - "- **'SeriesInstanceUID'**: SeriesInstanceUID of the DICOM ANN Series containing the cell annotation\n", + "The following code cells define and use `get_cell_annotations()` to select all DICOM MBSAs in the `BoneMarrowWSI-PediatricLeukemia` collection that contain cell annotations. By setting the parameter 'subset' to either 'labeled', 'unlabeled' or 'both', it's possible to extract either only labeled, unlabeled or all cell annotations.\n", + "The resulting pandas DataFrame contains: \n", + "\n", + "- **'SeriesInstanceUID'**: SeriesInstanceUID of the DICOM MBSA Series containing the cell annotation\n", "- **'annotation_session'**: 'n/a' for the unlabeled cells, otherwise the number of the annotation session or 'consensus' for the final consensus\n", "- **'cell_id'**: the ID of the cell\n", "- **'roi_id'**: if applicable, the ID of the monolayer ROI, that the cell is located within\n", @@ -2193,18 +2196,18 @@ "- **'cell_label_code_scheme'**: Tuple of code of the cell label and designator of the coding scheme used, e.g. (414387006, SCT) which is code 414387006 from SNOMED-CT\n", "- **'cell_label'**: Code meaning of the cell label defined in cell_label_code_scheme e.g. 'Structure of haematological system'. Have a look at the [SNOMED Browser](https://browser.ihtsdotools.org/?perspective=full&conceptId1=414387006&edition=MAIN&release=&languages=en) for this example.\n", "- **'cell_coordinates'**: the 2D coordinates in the image coordinate system of the referenced slide level\n", - "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from ann_index or read from the ANN file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here." + "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from ann_index or read from the MBSA file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here." ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": { "id": "68Ljng4vEjGl" }, "outputs": [], "source": [ - "def get_cell_annotations(subset: Union[str, None] = None, ann_to_process: int = 10) -> pd.DataFrame:\n", + "def get_cell_annotations(subset: Union[str, None] = None, to_process: int = 10) -> pd.DataFrame:\n", " assert subset in ['labeled', 'unlabeled', None]\n", "\n", " if subset == 'unlabeled':\n", @@ -2235,7 +2238,7 @@ " {filter_condition}\n", " ORDER BY\n", " ag.SeriesInstanceUID\n", - " LIMIT {ann_to_process}\n", + " LIMIT {to_process}\n", " '''\n", " cell_series = idc_client.sql_query(query_cell_anns)['SeriesInstanceUID']\n", " cells = extract_cells(cell_series)\n", @@ -2282,7 +2285,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2705,14 +2708,14 @@ } ], "source": [ - "# This code will run longer as you increase the number of ANN files to be processed\n", - "unlabeled_cells = get_cell_annotations(subset='unlabeled', ann_to_process=10)\n", + "# This code will run longer as you increase the number of files to be processed\n", + "unlabeled_cells = get_cell_annotations(subset='unlabeled', to_process=10)\n", "display(unlabeled_cells)" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -11380,8 +11383,8 @@ } ], "source": [ - "# This code will run longer as you increase the number of ANN files to be processed\n", - "labeled_cells = get_cell_annotations(subset='labeled', ann_to_process=10)\n", + "# This code will run longer as you increase the number of files to be processed\n", + "labeled_cells = get_cell_annotations(subset='labeled', to_process=10)\n", "sorted_cell_labels = labeled_cells.sort_values(by=['reference_SOPInstanceUID', 'cell_id', 'annotation_session'])\n", "display(sorted_cell_labels.style.hide(axis='index')) # don't show row index" ] @@ -11393,7 +11396,7 @@ }, "source": [ "## How to use the `BoneMarrowWSI-PediatricLeukemia` annotations\n", - "The `BoneMarrowWSI-PediatricLeukemia` collection stands out due to the large amount of information contained in its annotations. More than 40000 cells are annotated with bounding boxes suitable for training **cell detection models**, 28000 of those additionally received expert-generated class labels for **cell type classification** tasks. Particularly noteworthy is the uncertainty information embedded in the consensus labelling process, giving insight into which cell types are particularly challenging to determine or easy to confuse with others.\n", + "The `BoneMarrowWSI-PediatricLeukemia` collection stands out due to the large amount of information contained in its annotations. More than 40,000 cells are annotated with bounding boxes suitable for training **cell detection models**, 28,000 of those additionally received expert-generated labels for **cell type classification** tasks. Particularly noteworthy is the uncertainty information embedded in the consensus labeling process, giving insight into which cell types are particularly challenging to determine or easy to confuse with others.\n", "In the cell below, we catch some of those cases and display them in a confusion matrix: " ] }, @@ -11633,7 +11636,7 @@ ], "source": [ "# Note: this cell may run for 2-3 minutes\n", - "labeled_cells = get_cell_annotations(subset='labeled', ann_to_process=500)\n", + "labeled_cells = get_cell_annotations(subset='labeled', to_process=500)\n", "grouped_cell_labels = labeled_cells.groupby('cell_id').agg({'cell_label': list, 'cell_label_code_scheme': list,\n", " 'reference_SOPInstanceUID': 'first',\n", " 'cell_coordinates': 'first'})\n", From 63faedf902db0fa632de17d97d9b06a16143b104 Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 17:53:35 +0200 Subject: [PATCH 2/7] removed colab link to be able to run this specific version in colab --- .../collections_demos/bonemarrowwsi_pediatricleukemia.ipynb | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index d2e5049..53a9c4e 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -3,9 +3,7 @@ { "cell_type": "markdown", "metadata": {}, - "source": [ - "\"Open" - ] + "source": [] }, { "cell_type": "markdown", From 023c3942e7e979794cb9fa26b58af67166021533 Mon Sep 17 00:00:00 2001 From: Daniela Schacherer Date: Sat, 29 Aug 2026 18:06:39 +0200 Subject: [PATCH 3/7] Re-ran to update output --- .../bonemarrowwsi_pediatricleukemia.ipynb | 19620 ++++++++-------- 1 file changed, 9954 insertions(+), 9666 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index 53a9c4e..85aa8e9 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -2,7 +2,19 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "k65LvkKePfHq" + }, "source": [] }, { @@ -16,7 +28,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "awN_BlsYPfHr" + }, "source": [ "This tutorial is shared as part of the tutorials prepared by the Imaging Data Commons team and available at https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks.\n", "\n", @@ -44,7 +58,7 @@ "source": [ "## Background\n", "\n", - "The analysis of bone marrow aspirate smears serves as the foundation for assessing haematopoiesis (the process of blood cell formation in the bone marrow) and amongst other systemic diseases, the diagnosis of leukemia. This notebook introduces the `BoneMarrowWSI-PediatricLeukemia` collection, a comprehensive dataset of bone marrow smears and cell annotations. The dataset is presented in detail in [this preprint](https://www.arxiv.org/pdf/2509.15895) and is publicly available via the [Imaging Data Commons](https://portal.imaging.datacommons.cancer.gov/). \n", + "The analysis of bone marrow aspirate smears serves as the foundation for assessing haematopoiesis (the process of blood cell formation in the bone marrow) and amongst other systemic diseases, the diagnosis of leukemia. This notebook introduces the `BoneMarrowWSI-PediatricLeukemia` collection, a comprehensive dataset of bone marrow smears and cell annotations. The dataset is presented in detail in [this preprint](https://www.arxiv.org/pdf/2509.15895) and is publicly available via the [Imaging Data Commons](https://portal.imaging.datacommons.cancer.gov/).\n", "\n", "- **Images**: The `BoneMarrowWSI-PediatricLeukemia` dataset comprises bone marrow aspirate smear whole slide images (WSIs) for almost 250 pediatric cases of leukemia, including acute lymphoid leukemia (ALL), acute myeloid leukemia (AML), and chronic myeloid leukemia (CML). The smears were prepared for the initial diagnosis (i.e., without prior treatment), stained in accordance with the Pappenheim method, and scanned at 40x magnification.\n", "- **Annotations**: The images have been annotated with rectangular regions of interest (ROIs) of the evaluable monolayer area and more than 40,000 cell bounding box annotations have been placed (with few exceptions) within the ROIs. For a subset of them all cells and other haematological structures have additionally been labeled by multiple experts in a consensus labeling approach with 49 distinct (cell type) labels. This approach had worked as follows: each bounding box had been successively labeled by different experts in so-called \"annotation sessions\" until (a) the bounding box had been labeled by at least two experts, and (b) the most frequent label had constituted at least half of all labels given to that bounding box (and had then been termed \"consensus\"). In summary, the following annotations are available: \n", @@ -55,7 +69,7 @@ "\n", "Both images and annotations are made available in the DICOM format. For the annotations, more specifically, the **DICOM Microscopy Bulk Simple Annotation format** (**MBSA**, often also abbreviated ANN after the corresponding DICOM `Modality` value) was used, which is one of multiple options to store pathology image-derived data in DICOM. As a general introduction to this format, we recommend having a look at [this tutorial notebook](https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb).\n", "\n", - "In the following, we demonstrate **how to access and explore** the `BoneMarrowWSI-PediatricLeukemia` collection with a focus on its extensive annotation data. \n", + "In the following, we demonstrate **how to access and explore** the `BoneMarrowWSI-PediatricLeukemia` collection with a focus on its extensive annotation data.\n", "\n", "\n", "\"Example\n", @@ -100,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "id": "dgtRNVatzl2s" }, @@ -125,12 +139,12 @@ }, "source": [ "## Finding the `BoneMarrowWSI-PediatricLeukemia` dataset on IDC\n", - "To locate and download slides and available annotations, we use the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM MBSA/ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in idc-index and what information you can query from them. " + "To locate and download slides and available annotations, we use the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM MBSA/ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in idc-index and what information you can query from them." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "id": "D6XmpjYFsaJy" }, @@ -158,15 +172,15 @@ "base_uri": "https://localhost:8080/" }, "id": "kXr1V3q_s4x0", - "outputId": "0c82ff95-a2f7-46d9-ad2a-280c68585598" + "outputId": "7aaa9b48-7ffa-4f0f-8146-3124cf4f7a72" }, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " count(DISTINCT SeriesInstanceUID)\n", - "0 246\n" + "0 245\n" ] } ], @@ -192,26 +206,90 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 791 }, "id": "_jSB4Bixi_fR", - "outputId": "255a5976-4725-41c7-d169-da459a45e147" + "outputId": "4e881d17-9a73-4737-89f7-e20555ddecd1" }, "outputs": [ { + "output_type": "display_data", "data": { - 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SeriesInstanceUIDannotation_sessioncell_idroi_idcell_human_labelcell_labelcell_label_code_schemecell_coordinatesreference_SeriesInstanceUIDreference_SOPInstanceUIDSeriesInstanceUIDannotation_sessioncell_idroi_idcell_human_labelcell_labelcell_label_code_schemecell_coordinatesreference_SeriesInstanceUIDreference_SOPInstanceUID
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231009227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84698. 77060.]\n", - " [84825. 77060.]\n", - " [84825. 77171.]\n", - " [84698. 77171.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231009227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84698. 77060.]\n", - " [84825. 77060.]\n", - " [84825. 77171.]\n", - " [84698. 77171.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231009227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84698. 77060.]\n", - " [84825. 77060.]\n", - " [84825. 77171.]\n", - " [84698. 77171.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231009227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84698. 77060.]\n", - " [84825. 77060.]\n", - " [84825. 77171.]\n", - " [84698. 77171.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231009227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84698. 77060.]\n", - " [84825. 77060.]\n", - " [84825. 77171.]\n", - " [84698. 77171.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227unknown_blastBlast cell('312256009', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227unknown_blastBlast cell('312256009', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227unknown_blastBlast cell('312256009', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227unknown_blastBlast cell('312256009', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231020227unknown_blastBlast cell('312256009', 'SCT')[[85184. 77287.]\n", - " [85337. 77287.]\n", - " [85337. 77452.]\n", - " [85184. 77452.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231026227smudge_cellSmudge cell('34717007', 'SCT')[[85542. 77097.]\n", - " [85669. 77097.]\n", - " [85669. 77243.]\n", - " [85542. 77243.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231026227smudge_cellSmudge cell('34717007', 'SCT')[[85542. 77097.]\n", - " [85669. 77097.]\n", - " [85669. 77243.]\n", - " [85542. 77243.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231026227smudge_cellSmudge cell('34717007', 'SCT')[[85542. 77097.]\n", - " [85669. 77097.]\n", - " [85669. 77243.]\n", - " [85542. 77243.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231026227smudge_cellSmudge cell('34717007', 'SCT')[[85542. 77097.]\n", - " [85669. 77097.]\n", - " [85669. 77243.]\n", - " [85542. 77243.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231026227smudge_cellSmudge cell('34717007', 'SCT')[[85542. 77097.]\n", - " [85669. 77097.]\n", - " [85669. 77243.]\n", - " [85542. 77243.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231027227damaged_cellDamage('37782003', 'SCT')[[85703. 76929.]\n", - " [85816. 76929.]\n", - " [85816. 77047.]\n", - " [85703. 77047.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231027227damaged_cellDamage('37782003', 'SCT')[[85703. 76929.]\n", - " [85816. 76929.]\n", - " [85816. 77047.]\n", - " [85703. 77047.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231027227damaged_cellDamage('37782003', 'SCT')[[85703. 76929.]\n", - " [85816. 76929.]\n", - " [85816. 77047.]\n", - " [85703. 77047.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231027227damaged_cellDamage('37782003', 'SCT')[[85703. 76929.]\n", - " [85816. 76929.]\n", - " [85816. 77047.]\n", - " [85703. 77047.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231027227damaged_cellDamage('37782003', 'SCT')[[85703. 76929.]\n", - " [85816. 76929.]\n", - " [85816. 77047.]\n", - " [85703. 77047.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231030227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85136. 77970.]\n", - " [85265. 77970.]\n", - " [85265. 78098.]\n", - " [85136. 78098.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231030227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85136. 77970.]\n", - " [85265. 77970.]\n", - " [85265. 78098.]\n", - " [85136. 78098.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231030227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85136. 77970.]\n", - " [85265. 77970.]\n", - " [85265. 78098.]\n", - " [85136. 78098.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231030227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85136. 77970.]\n", - " [85265. 77970.]\n", - " [85265. 78098.]\n", - " [85136. 78098.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231030227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85136. 77970.]\n", - " [85265. 77970.]\n", - " [85265. 78098.]\n", - " [85136. 78098.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231052227smudge_cellSmudge cell('34717007', 'SCT')[[85286. 78682.]\n", - " [85425. 78682.]\n", - " [85425. 78796.]\n", - " [85286. 78796.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231052227smudge_cellSmudge cell('34717007', 'SCT')[[85286. 78682.]\n", - " [85425. 78682.]\n", - " [85425. 78796.]\n", - " [85286. 78796.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231052227smudge_cellSmudge cell('34717007', 'SCT')[[85286. 78682.]\n", - " [85425. 78682.]\n", - " [85425. 78796.]\n", - " [85286. 78796.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231052227smudge_cellSmudge cell('34717007', 'SCT')[[85286. 78682.]\n", - " [85425. 78682.]\n", - " [85425. 78796.]\n", - " [85286. 78796.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231052227smudge_cellSmudge cell('34717007', 'SCT')[[85286. 78682.]\n", - " [85425. 78682.]\n", - " [85425. 78796.]\n", - " [85286. 78796.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231058227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86414. 77155.]\n", - " [86518. 77155.]\n", - " [86518. 77253.]\n", - " [86414. 77253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231058227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86414. 77155.]\n", - " [86518. 77155.]\n", - " [86518. 77253.]\n", - " [86414. 77253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231058227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86414. 77155.]\n", - " [86518. 77155.]\n", - " [86518. 77253.]\n", - " [86414. 77253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231058227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86414. 77155.]\n", - " [86518. 77155.]\n", - " [86518. 77253.]\n", - " [86414. 77253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231058227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86414. 77155.]\n", - " [86518. 77155.]\n", - " [86518. 77253.]\n", - " [86414. 77253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231064227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85928. 78432.]\n", - " [86025. 78432.]\n", - " [86025. 78545.]\n", - " [85928. 78545.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231064227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85928. 78432.]\n", - " [86025. 78432.]\n", - " [86025. 78545.]\n", - " [85928. 78545.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231064227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85928. 78432.]\n", - " [86025. 78432.]\n", - " [86025. 78545.]\n", - " [85928. 78545.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231064227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85928. 78432.]\n", - " [86025. 78432.]\n", - " [86025. 78545.]\n", - " [85928. 78545.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231064227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85928. 78432.]\n", - " [86025. 78432.]\n", - " [86025. 78545.]\n", - " [85928. 78545.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231069227smudge_cellSmudge cell('34717007', 'SCT')[[86045. 78653.]\n", - " [86136. 78653.]\n", - " [86136. 78753.]\n", - " [86045. 78753.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231069227smudge_cellSmudge cell('34717007', 'SCT')[[86045. 78653.]\n", - " [86136. 78653.]\n", - " [86136. 78753.]\n", - " [86045. 78753.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231069227smudge_cellSmudge cell('34717007', 'SCT')[[86045. 78653.]\n", - " [86136. 78653.]\n", - " [86136. 78753.]\n", - " [86045. 78753.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231069227smudge_cellSmudge cell('34717007', 'SCT')[[86045. 78653.]\n", - " [86136. 78653.]\n", - " [86136. 78753.]\n", - " [86045. 78753.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231069227smudge_cellSmudge cell('34717007', 'SCT')[[86045. 78653.]\n", - " [86136. 78653.]\n", - " [86136. 78753.]\n", - " [86045. 78753.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231076227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85158. 79014.]\n", - " [85286. 79014.]\n", - " [85286. 79146.]\n", - " [85158. 79146.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231076227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85158. 79014.]\n", - " [85286. 79014.]\n", - " [85286. 79146.]\n", - " [85158. 79146.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231076227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85158. 79014.]\n", - " [85286. 79014.]\n", - " [85286. 79146.]\n", - " [85158. 79146.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231076227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85158. 79014.]\n", - " [85286. 79014.]\n", - " [85286. 79146.]\n", - " [85158. 79146.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231076227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85158. 79014.]\n", - " [85286. 79014.]\n", - " [85286. 79146.]\n", - " [85158. 79146.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231078227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85202. 78844.]\n", - " [85310. 78844.]\n", - " [85310. 78959.]\n", - " [85202. 78959.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231078227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85202. 78844.]\n", - " [85310. 78844.]\n", - " [85310. 78959.]\n", - " [85202. 78959.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231078227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85202. 78844.]\n", - " [85310. 78844.]\n", - " [85310. 78959.]\n", - " [85202. 78959.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231078227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85202. 78844.]\n", - " [85310. 78844.]\n", - " [85310. 78959.]\n", - " [85202. 78959.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231078227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85202. 78844.]\n", - " [85310. 78844.]\n", - " [85310. 78959.]\n", - " [85202. 78959.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231089227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86134. 77551.]\n", - " [86262. 77551.]\n", - " [86262. 77688.]\n", - " [86134. 77688.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231089227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86134. 77551.]\n", - " [86262. 77551.]\n", - " [86262. 77688.]\n", - " [86134. 77688.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231089227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86134. 77551.]\n", - " [86262. 77551.]\n", - " [86262. 77688.]\n", - " [86134. 77688.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231089227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86134. 77551.]\n", - " [86262. 77551.]\n", - " [86262. 77688.]\n", - " [86134. 77688.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231089227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[86134. 77551.]\n", - " [86262. 77551.]\n", - " [86262. 77688.]\n", - " [86134. 77688.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231093227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85858. 77578.]\n", - " [85968. 77578.]\n", - " [85968. 77685.]\n", - " [85858. 77685.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231093227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85858. 77578.]\n", - " [85968. 77578.]\n", - " [85968. 77685.]\n", - " [85858. 77685.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231093227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85858. 77578.]\n", - " [85968. 77578.]\n", - " [85968. 77685.]\n", - " [85858. 77685.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231093227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85858. 77578.]\n", - " [85968. 77578.]\n", - " [85968. 77685.]\n", - " [85858. 77685.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231093227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85858. 77578.]\n", - " [85968. 77578.]\n", - " [85968. 77685.]\n", - " [85858. 77685.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231097227lymphocytic_blastLymphoblast('15433008', 'SCT')[[86013. 77636.]\n", - " [86110. 77636.]\n", - " [86110. 77735.]\n", - " [86013. 77735.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231097227lymphocytic_blastLymphoblast('15433008', 'SCT')[[86013. 77636.]\n", - " [86110. 77636.]\n", - " [86110. 77735.]\n", - " [86013. 77735.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231097227lymphocytic_blastLymphoblast('15433008', 'SCT')[[86013. 77636.]\n", - " [86110. 77636.]\n", - " [86110. 77735.]\n", - " [86013. 77735.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231097227lymphocytic_blastLymphoblast('15433008', 'SCT')[[86013. 77636.]\n", - " [86110. 77636.]\n", - " [86110. 77735.]\n", - " [86013. 77735.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231097227lymphocytic_blastLymphoblast('15433008', 'SCT')[[86013. 77636.]\n", - " [86110. 77636.]\n", - " [86110. 77735.]\n", - " [86013. 77735.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231101227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85300. 78846.]\n", - " [85384. 78846.]\n", - " [85384. 78951.]\n", - " [85300. 78951.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231101227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85300. 78846.]\n", - " [85384. 78846.]\n", - " [85384. 78951.]\n", - " [85300. 78951.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231101227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85300. 78846.]\n", - " [85384. 78846.]\n", - " [85384. 78951.]\n", - " [85300. 78951.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231101227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85300. 78846.]\n", - " [85384. 78846.]\n", - " [85384. 78951.]\n", - " [85300. 78951.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231101227lymphocytic_blastLymphoblast('15433008', 'SCT')[[85300. 78846.]\n", - " [85384. 78846.]\n", - " [85384. 78951.]\n", - " [85300. 78951.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231105227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85329. 78901.]\n", - " [85440. 78901.]\n", - " [85440. 79105.]\n", - " [85329. 79105.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231105227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85329. 78901.]\n", - " [85440. 78901.]\n", - " [85440. 79105.]\n", - " [85329. 79105.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231105227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85329. 78901.]\n", - " [85440. 78901.]\n", - " [85440. 79105.]\n", - " [85329. 79105.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231105227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85329. 78901.]\n", - " [85440. 78901.]\n", - " [85440. 79105.]\n", - " [85329. 79105.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231105227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[85329. 78901.]\n", - " [85440. 78901.]\n", - " [85440. 79105.]\n", - " [85329. 79105.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231108227smudge_cellSmudge cell('34717007', 'SCT')[[84448. 77229.]\n", - " [84571. 77229.]\n", - " [84571. 77348.]\n", - " [84448. 77348.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231108227smudge_cellSmudge cell('34717007', 'SCT')[[84448. 77229.]\n", - " [84571. 77229.]\n", - " [84571. 77348.]\n", - " [84448. 77348.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231108227smudge_cellSmudge cell('34717007', 'SCT')[[84448. 77229.]\n", - " [84571. 77229.]\n", - " [84571. 77348.]\n", - " [84448. 77348.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231108227smudge_cellSmudge cell('34717007', 'SCT')[[84448. 77229.]\n", - " [84571. 77229.]\n", - " [84571. 77348.]\n", - " [84448. 77348.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231108227smudge_cellSmudge cell('34717007', 'SCT')[[84448. 77229.]\n", - " [84571. 77229.]\n", - " [84571. 77348.]\n", - " [84448. 77348.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231112227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[84774. 78130.]\n", - " [84898. 78130.]\n", - " [84898. 78241.]\n", - " [84774. 78241.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231112227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[84774. 78130.]\n", - " [84898. 78130.]\n", - " [84898. 78241.]\n", - " [84774. 78241.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231112227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[84774. 78130.]\n", - " [84898. 78130.]\n", - " [84898. 78241.]\n", - " [84774. 78241.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231112227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[84774. 78130.]\n", - " [84898. 78130.]\n", - " [84898. 78241.]\n", - " [84774. 78241.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231112227no_consensus_foundStructure of haematological system('414387006', 'SCT')[[84774. 78130.]\n", - " [84898. 78130.]\n", - " [84898. 78241.]\n", - " [84774. 78241.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231113227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84803. 78269.]\n", - " [84950. 78269.]\n", - " [84950. 78406.]\n", - " [84803. 78406.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231113227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84803. 78269.]\n", - " [84950. 78269.]\n", - " [84950. 78406.]\n", - " [84803. 78406.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231113227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84803. 78269.]\n", - " [84950. 78269.]\n", - " [84950. 78406.]\n", - " [84803. 78406.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231113227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84803. 78269.]\n", - " [84950. 78269.]\n", - " [84950. 78406.]\n", - " [84803. 78406.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231113227lymphocytic_blastLymphoblast('15433008', 'SCT')[[84803. 78269.]\n", - " [84950. 78269.]\n", - " [84950. 78406.]\n", - " [84803. 78406.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231139228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87521. 103435.]\n", - " [ 87632. 103435.]\n", - " [ 87632. 103543.]\n", - " [ 87521. 103543.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231139228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87521. 103435.]\n", - " [ 87632. 103435.]\n", - " [ 87632. 103543.]\n", - " [ 87521. 103543.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231139228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87521. 103435.]\n", - " [ 87632. 103435.]\n", - " [ 87632. 103543.]\n", - " [ 87521. 103543.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231139228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87521. 103435.]\n", - " [ 87632. 103435.]\n", - " [ 87632. 103543.]\n", - " [ 87521. 103543.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231139228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87521. 103435.]\n", - " [ 87632. 103435.]\n", - " [ 87632. 103543.]\n", - " [ 87521. 103543.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231140228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87942. 102956.]\n", - " [ 88065. 102956.]\n", - " [ 88065. 103078.]\n", - " [ 87942. 103078.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231140228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87942. 102956.]\n", - " [ 88065. 102956.]\n", - " [ 88065. 103078.]\n", - " [ 87942. 103078.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231140228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87942. 102956.]\n", - " [ 88065. 102956.]\n", - " [ 88065. 103078.]\n", - " [ 87942. 103078.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231140228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87942. 102956.]\n", - " [ 88065. 102956.]\n", - " [ 88065. 103078.]\n", - " [ 87942. 103078.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231140228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87942. 102956.]\n", - " [ 88065. 102956.]\n", - " [ 88065. 103078.]\n", - " [ 87942. 103078.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231144228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88028. 103012.]\n", - " [ 88129. 103012.]\n", - " [ 88129. 103112.]\n", - " [ 88028. 103112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231144228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88028. 103012.]\n", - " [ 88129. 103012.]\n", - " [ 88129. 103112.]\n", - " [ 88028. 103112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231144228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88028. 103012.]\n", - " [ 88129. 103012.]\n", - " [ 88129. 103112.]\n", - " [ 88028. 103112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231144228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88028. 103012.]\n", - " [ 88129. 103012.]\n", - " [ 88129. 103112.]\n", - " [ 88028. 103112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231144228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88028. 103012.]\n", - " [ 88129. 103012.]\n", - " [ 88129. 103112.]\n", - " [ 88028. 103112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231145228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88116. 103041.]\n", - " [ 88213. 103041.]\n", - " [ 88213. 103139.]\n", - " [ 88116. 103139.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231145228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88116. 103041.]\n", - " [ 88213. 103041.]\n", - " [ 88213. 103139.]\n", - " [ 88116. 103139.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231145228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88116. 103041.]\n", - " [ 88213. 103041.]\n", - " [ 88213. 103139.]\n", - " [ 88116. 103139.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231145228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88116. 103041.]\n", - " [ 88213. 103041.]\n", - " [ 88213. 103139.]\n", - " [ 88116. 103139.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231145228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88116. 103041.]\n", - " [ 88213. 103041.]\n", - " [ 88213. 103139.]\n", - " [ 88116. 103139.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231163228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88744. 102675.]\n", - " [ 88849. 102675.]\n", - " [ 88849. 102804.]\n", - " [ 88744. 102804.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231163228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88744. 102675.]\n", - " [ 88849. 102675.]\n", - " [ 88849. 102804.]\n", - " [ 88744. 102804.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231163228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88744. 102675.]\n", - " [ 88849. 102675.]\n", - " [ 88849. 102804.]\n", - " [ 88744. 102804.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231163228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88744. 102675.]\n", - " [ 88849. 102675.]\n", - " [ 88849. 102804.]\n", - " [ 88744. 102804.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231163228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88744. 102675.]\n", - " [ 88849. 102675.]\n", - " [ 88849. 102804.]\n", - " [ 88744. 102804.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231165228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 88347. 103131.]\n", - " [ 88436. 103131.]\n", - " [ 88436. 103226.]\n", - " [ 88347. 103226.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231165228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 88347. 103131.]\n", - " [ 88436. 103131.]\n", - " [ 88436. 103226.]\n", - " [ 88347. 103226.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231165228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 88347. 103131.]\n", - " [ 88436. 103131.]\n", - " [ 88436. 103226.]\n", - " [ 88347. 103226.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231165228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 88347. 103131.]\n", - " [ 88436. 103131.]\n", - " [ 88436. 103226.]\n", - " [ 88347. 103226.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231165228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 88347. 103131.]\n", - " [ 88436. 103131.]\n", - " [ 88436. 103226.]\n", - " [ 88347. 103226.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231169228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88065. 103350.]\n", - " [ 88158. 103350.]\n", - " [ 88158. 103441.]\n", - " [ 88065. 103441.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231169228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88065. 103350.]\n", - " [ 88158. 103350.]\n", - " [ 88158. 103441.]\n", - " [ 88065. 103441.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231169228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88065. 103350.]\n", - " [ 88158. 103350.]\n", - " [ 88158. 103441.]\n", - " [ 88065. 103441.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231169228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88065. 103350.]\n", - " [ 88158. 103350.]\n", - " [ 88158. 103441.]\n", - " [ 88065. 103441.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231169228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88065. 103350.]\n", - " [ 88158. 103350.]\n", - " [ 88158. 103441.]\n", - " [ 88065. 103441.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231182228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88680. 103427.]\n", - " [ 88768. 103427.]\n", - " [ 88768. 103527.]\n", - " [ 88680. 103527.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231182228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88680. 103427.]\n", - " [ 88768. 103427.]\n", - " [ 88768. 103527.]\n", - " [ 88680. 103527.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231182228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88680. 103427.]\n", - " [ 88768. 103427.]\n", - " [ 88768. 103527.]\n", - " [ 88680. 103527.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231182228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88680. 103427.]\n", - " [ 88768. 103427.]\n", - " [ 88768. 103527.]\n", - " [ 88680. 103527.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231182228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88680. 103427.]\n", - " [ 88768. 103427.]\n", - " [ 88768. 103527.]\n", - " [ 88680. 103527.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231183228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88766. 103388.]\n", - " [ 88874. 103388.]\n", - " [ 88874. 103504.]\n", - " [ 88766. 103504.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231183228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88766. 103388.]\n", - " [ 88874. 103388.]\n", - " [ 88874. 103504.]\n", - " [ 88766. 103504.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231183228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88766. 103388.]\n", - " [ 88874. 103388.]\n", - " [ 88874. 103504.]\n", - " [ 88766. 103504.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231183228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88766. 103388.]\n", - " [ 88874. 103388.]\n", - " [ 88874. 103504.]\n", - " [ 88766. 103504.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231183228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88766. 103388.]\n", - " [ 88874. 103388.]\n", - " [ 88874. 103504.]\n", - " [ 88766. 103504.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231197228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88628. 103720.]\n", - " [ 88716. 103720.]\n", - " [ 88716. 103809.]\n", - " [ 88628. 103809.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231197228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88628. 103720.]\n", - " [ 88716. 103720.]\n", - " [ 88716. 103809.]\n", - " [ 88628. 103809.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231197228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88628. 103720.]\n", - " [ 88716. 103720.]\n", - " [ 88716. 103809.]\n", - " [ 88628. 103809.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231197228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88628. 103720.]\n", - " [ 88716. 103720.]\n", - " [ 88716. 103809.]\n", - " [ 88628. 103809.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231197228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88628. 103720.]\n", - " [ 88716. 103720.]\n", - " [ 88716. 103809.]\n", - " [ 88628. 103809.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231198228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88786. 103723.]\n", - " [ 88880. 103723.]\n", - " [ 88880. 103805.]\n", - " [ 88786. 103805.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231198228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88786. 103723.]\n", - " [ 88880. 103723.]\n", - " [ 88880. 103805.]\n", - " [ 88786. 103805.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231198228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88786. 103723.]\n", - " [ 88880. 103723.]\n", - " [ 88880. 103805.]\n", - " [ 88786. 103805.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231198228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88786. 103723.]\n", - " [ 88880. 103723.]\n", - " [ 88880. 103805.]\n", - " [ 88786. 103805.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231198228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88786. 103723.]\n", - " [ 88880. 103723.]\n", - " [ 88880. 103805.]\n", - " [ 88786. 103805.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231216228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88736. 104161.]\n", - " [ 88818. 104161.]\n", - " [ 88818. 104245.]\n", - " [ 88736. 104245.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231216228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88736. 104161.]\n", - " [ 88818. 104161.]\n", - " [ 88818. 104245.]\n", - " [ 88736. 104245.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231216228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88736. 104161.]\n", - " [ 88818. 104161.]\n", - " [ 88818. 104245.]\n", - " [ 88736. 104245.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231216228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88736. 104161.]\n", - " [ 88818. 104161.]\n", - " [ 88818. 104245.]\n", - " [ 88736. 104245.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231216228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88736. 104161.]\n", - " [ 88818. 104161.]\n", - " [ 88818. 104245.]\n", - " [ 88736. 104245.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231224228smudge_cellSmudge cell('34717007', 'SCT')[[ 88964. 104415.]\n", - " [ 89071. 104415.]\n", - " [ 89071. 104495.]\n", - " [ 88964. 104495.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231224228smudge_cellSmudge cell('34717007', 'SCT')[[ 88964. 104415.]\n", - " [ 89071. 104415.]\n", - " [ 89071. 104495.]\n", - " [ 88964. 104495.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231224228smudge_cellSmudge cell('34717007', 'SCT')[[ 88964. 104415.]\n", - " [ 89071. 104415.]\n", - " [ 89071. 104495.]\n", - " [ 88964. 104495.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231224228smudge_cellSmudge cell('34717007', 'SCT')[[ 88964. 104415.]\n", - " [ 89071. 104415.]\n", - " [ 89071. 104495.]\n", - " [ 88964. 104495.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231224228smudge_cellSmudge cell('34717007', 'SCT')[[ 88964. 104415.]\n", - " [ 89071. 104415.]\n", - " [ 89071. 104495.]\n", - " [ 88964. 104495.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231237228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88631. 104775.]\n", - " [ 88745. 104775.]\n", - " [ 88745. 104880.]\n", - " [ 88631. 104880.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231237228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88631. 104775.]\n", - " [ 88745. 104775.]\n", - " [ 88745. 104880.]\n", - " [ 88631. 104880.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231237228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88631. 104775.]\n", - " [ 88745. 104775.]\n", - " [ 88745. 104880.]\n", - " [ 88631. 104880.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231237228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88631. 104775.]\n", - " [ 88745. 104775.]\n", - " [ 88745. 104880.]\n", - " [ 88631. 104880.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231237228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88631. 104775.]\n", - " [ 88745. 104775.]\n", - " [ 88745. 104880.]\n", - " [ 88631. 104880.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231240228smudge_cellSmudge cell('34717007', 'SCT')[[ 88500. 104672.]\n", - " [ 88588. 104672.]\n", - " [ 88588. 104800.]\n", - " [ 88500. 104800.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231240228smudge_cellSmudge cell('34717007', 'SCT')[[ 88500. 104672.]\n", - " [ 88588. 104672.]\n", - " [ 88588. 104800.]\n", - " [ 88500. 104800.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231240228smudge_cellSmudge cell('34717007', 'SCT')[[ 88500. 104672.]\n", - " [ 88588. 104672.]\n", - " [ 88588. 104800.]\n", - " [ 88500. 104800.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231240228smudge_cellSmudge cell('34717007', 'SCT')[[ 88500. 104672.]\n", - " [ 88588. 104672.]\n", - " [ 88588. 104800.]\n", - " [ 88500. 104800.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231240228smudge_cellSmudge cell('34717007', 'SCT')[[ 88500. 104672.]\n", - " [ 88588. 104672.]\n", - " [ 88588. 104800.]\n", - " [ 88500. 104800.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231241228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88423. 104725.]\n", - " [ 88541. 104725.]\n", - " [ 88541. 104846.]\n", - " [ 88423. 104846.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231241228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88423. 104725.]\n", - " [ 88541. 104725.]\n", - " [ 88541. 104846.]\n", - " [ 88423. 104846.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231241228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88423. 104725.]\n", - " [ 88541. 104725.]\n", - " [ 88541. 104846.]\n", - " [ 88423. 104846.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231241228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88423. 104725.]\n", - " [ 88541. 104725.]\n", - " [ 88541. 104846.]\n", - " [ 88423. 104846.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231241228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88423. 104725.]\n", - " [ 88541. 104725.]\n", - " [ 88541. 104846.]\n", - " [ 88423. 104846.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231248228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88531. 104302.]\n", - " [ 88626. 104302.]\n", - " [ 88626. 104389.]\n", - " [ 88531. 104389.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231248228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88531. 104302.]\n", - " [ 88626. 104302.]\n", - " [ 88626. 104389.]\n", - " [ 88531. 104389.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231248228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88531. 104302.]\n", - " [ 88626. 104302.]\n", - " [ 88626. 104389.]\n", - " [ 88531. 104389.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231248228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88531. 104302.]\n", - " [ 88626. 104302.]\n", - " [ 88626. 104389.]\n", - " [ 88531. 104389.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231248228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 88531. 104302.]\n", - " [ 88626. 104302.]\n", - " [ 88626. 104389.]\n", - " [ 88531. 104389.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231258228smudge_cellSmudge cell('34717007', 'SCT')[[ 88335. 103994.]\n", - " [ 88456. 103994.]\n", - " [ 88456. 104112.]\n", - " [ 88335. 104112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231258228smudge_cellSmudge cell('34717007', 'SCT')[[ 88335. 103994.]\n", - " [ 88456. 103994.]\n", - " [ 88456. 104112.]\n", - " [ 88335. 104112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231258228smudge_cellSmudge cell('34717007', 'SCT')[[ 88335. 103994.]\n", - " [ 88456. 103994.]\n", - " [ 88456. 104112.]\n", - " [ 88335. 104112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231258228smudge_cellSmudge cell('34717007', 'SCT')[[ 88335. 103994.]\n", - " [ 88456. 103994.]\n", - " [ 88456. 104112.]\n", - " [ 88335. 104112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231258228smudge_cellSmudge cell('34717007', 'SCT')[[ 88335. 103994.]\n", - " [ 88456. 103994.]\n", - " [ 88456. 104112.]\n", - " [ 88335. 104112.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231260228damaged_cellDamage('37782003', 'SCT')[[ 87636. 104781.]\n", - " [ 87753. 104781.]\n", - " [ 87753. 104966.]\n", - " [ 87636. 104966.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231260228damaged_cellDamage('37782003', 'SCT')[[ 87636. 104781.]\n", - " [ 87753. 104781.]\n", - " [ 87753. 104966.]\n", - " [ 87636. 104966.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231260228damaged_cellDamage('37782003', 'SCT')[[ 87636. 104781.]\n", - " [ 87753. 104781.]\n", - " [ 87753. 104966.]\n", - " [ 87636. 104966.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231260228damaged_cellDamage('37782003', 'SCT')[[ 87636. 104781.]\n", - " [ 87753. 104781.]\n", - " [ 87753. 104966.]\n", - " [ 87636. 104966.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231260228damaged_cellDamage('37782003', 'SCT')[[ 87636. 104781.]\n", - " [ 87753. 104781.]\n", - " [ 87753. 104966.]\n", - " [ 87636. 104966.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231269228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87775. 104109.]\n", - " [ 87926. 104109.]\n", - " [ 87926. 104253.]\n", - " [ 87775. 104253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231269228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87775. 104109.]\n", - " [ 87926. 104109.]\n", - " [ 87926. 104253.]\n", - " [ 87775. 104253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231269228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87775. 104109.]\n", - " [ 87926. 104109.]\n", - " [ 87926. 104253.]\n", - " [ 87775. 104253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231269228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87775. 104109.]\n", - " [ 87926. 104109.]\n", - " [ 87926. 104253.]\n", - " [ 87775. 104253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231269228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87775. 104109.]\n", - " [ 87926. 104109.]\n", - " [ 87926. 104253.]\n", - " [ 87775. 104253.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231279228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87206. 103804.]\n", - " [ 87302. 103804.]\n", - " [ 87302. 103937.]\n", - " [ 87206. 103937.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231279228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87206. 103804.]\n", - " [ 87302. 103804.]\n", - " [ 87302. 103937.]\n", - " [ 87206. 103937.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231279228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87206. 103804.]\n", - " [ 87302. 103804.]\n", - " [ 87302. 103937.]\n", - " [ 87206. 103937.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231279228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87206. 103804.]\n", - " [ 87302. 103804.]\n", - " [ 87302. 103937.]\n", - " [ 87206. 103937.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231279228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87206. 103804.]\n", - " [ 87302. 103804.]\n", - " [ 87302. 103937.]\n", - " [ 87206. 103937.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231282228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87357. 103704.]\n", - " [ 87449. 103704.]\n", - " [ 87449. 103789.]\n", - " [ 87357. 103789.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231282228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87357. 103704.]\n", - " [ 87449. 103704.]\n", - " [ 87449. 103789.]\n", - " [ 87357. 103789.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231282228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87357. 103704.]\n", - " [ 87449. 103704.]\n", - " [ 87449. 103789.]\n", - " [ 87357. 103789.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231282228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87357. 103704.]\n", - " [ 87449. 103704.]\n", - " [ 87449. 103789.]\n", - " [ 87357. 103789.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231282228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87357. 103704.]\n", - " [ 87449. 103704.]\n", - " [ 87449. 103789.]\n", - " [ 87357. 103789.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231283228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87056. 103354.]\n", - " [ 87163. 103354.]\n", - " [ 87163. 103459.]\n", - " [ 87056. 103459.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231283228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87056. 103354.]\n", - " [ 87163. 103354.]\n", - " [ 87163. 103459.]\n", - " [ 87056. 103459.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231283228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87056. 103354.]\n", - " [ 87163. 103354.]\n", - " [ 87163. 103459.]\n", - " [ 87056. 103459.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231283228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87056. 103354.]\n", - " [ 87163. 103354.]\n", - " [ 87163. 103459.]\n", - " [ 87056. 103459.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231283228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87056. 103354.]\n", - " [ 87163. 103354.]\n", - " [ 87163. 103459.]\n", - " [ 87056. 103459.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231288228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87785. 103575.]\n", - " [ 87914. 103575.]\n", - " [ 87914. 103730.]\n", - " [ 87785. 103730.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231288228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87785. 103575.]\n", - " [ 87914. 103575.]\n", - " [ 87914. 103730.]\n", - " [ 87785. 103730.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231288228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87785. 103575.]\n", - " [ 87914. 103575.]\n", - " [ 87914. 103730.]\n", - " [ 87785. 103730.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231288228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87785. 103575.]\n", - " [ 87914. 103575.]\n", - " [ 87914. 103730.]\n", - " [ 87785. 103730.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231288228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87785. 103575.]\n", - " [ 87914. 103575.]\n", - " [ 87914. 103730.]\n", - " [ 87785. 103730.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231295228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87777. 103803.]\n", - " [ 87862. 103803.]\n", - " [ 87862. 103900.]\n", - " [ 87777. 103900.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231295228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87777. 103803.]\n", - " [ 87862. 103803.]\n", - " [ 87862. 103900.]\n", - " [ 87777. 103900.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231295228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87777. 103803.]\n", - " [ 87862. 103803.]\n", - " [ 87862. 103900.]\n", - " [ 87777. 103900.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231295228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87777. 103803.]\n", - " [ 87862. 103803.]\n", - " [ 87862. 103900.]\n", - " [ 87777. 103900.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231295228lymphocytic_blastLymphoblast('15433008', 'SCT')[[ 87777. 103803.]\n", - " [ 87862. 103803.]\n", - " [ 87862. 103900.]\n", - " [ 87777. 103900.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231298228smudge_cellSmudge cell('34717007', 'SCT')[[ 87979. 103854.]\n", - " [ 88144. 103854.]\n", - " [ 88144. 104000.]\n", - " [ 87979. 104000.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231298228smudge_cellSmudge cell('34717007', 'SCT')[[ 87979. 103854.]\n", - " [ 88144. 103854.]\n", - " [ 88144. 104000.]\n", - " [ 87979. 104000.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231298228smudge_cellSmudge cell('34717007', 'SCT')[[ 87979. 103854.]\n", - " [ 88144. 103854.]\n", - " [ 88144. 104000.]\n", - " [ 87979. 104000.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231298228smudge_cellSmudge cell('34717007', 'SCT')[[ 87979. 103854.]\n", - " [ 88144. 103854.]\n", - " [ 88144. 104000.]\n", - " [ 87979. 104000.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231298228smudge_cellSmudge cell('34717007', 'SCT')[[ 87979. 103854.]\n", - " [ 88144. 103854.]\n", - " [ 88144. 104000.]\n", - " [ 87979. 104000.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231305228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87739. 103166.]\n", - " [ 87860. 103166.]\n", - " [ 87860. 103289.]\n", - " [ 87739. 103289.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231305228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87739. 103166.]\n", - " [ 87860. 103166.]\n", - " [ 87860. 103289.]\n", - " [ 87739. 103289.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231305228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87739. 103166.]\n", - " [ 87860. 103166.]\n", - " [ 87860. 103289.]\n", - " [ 87739. 103289.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231305228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87739. 103166.]\n", - " [ 87860. 103166.]\n", - " [ 87860. 103289.]\n", - " [ 87739. 103289.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10000458259578156824372970041815666Session 231305228no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87739. 103166.]\n", - " [ 87860. 103166.]\n", - " [ 87860. 103289.]\n", - " [ 87739. 103289.]]1.2.826.0.1.3680043.8.498.344630678307845905595816254691137746871.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215137artifactArtifact('47973001', 'SCT')[[ 67400. 181709.]\n", - " [ 67473. 181709.]\n", - " [ 67473. 181792.]\n", - " [ 67400. 181792.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215137artifactArtifact('47973001', 'SCT')[[ 67400. 181709.]\n", - " [ 67473. 181709.]\n", - " [ 67473. 181792.]\n", - " [ 67400. 181792.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215137artifactArtifact('47973001', 'SCT')[[ 67400. 181709.]\n", - " [ 67473. 181709.]\n", - " [ 67473. 181792.]\n", - " [ 67400. 181792.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215137artifactArtifact('47973001', 'SCT')[[ 67400. 181709.]\n", - " [ 67473. 181709.]\n", - " [ 67473. 181792.]\n", - " [ 67400. 181792.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215137artifactArtifact('47973001', 'SCT')[[ 67400. 181709.]\n", - " [ 67473. 181709.]\n", - " [ 67473. 181792.]\n", - " [ 67400. 181792.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215187damaged_cellDamage('37782003', 'SCT')[[ 67349. 181965.]\n", - " [ 67479. 181965.]\n", - " [ 67479. 182099.]\n", - " [ 67349. 182099.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215187damaged_cellDamage('37782003', 'SCT')[[ 67349. 181965.]\n", - " [ 67479. 181965.]\n", - " [ 67479. 182099.]\n", - " [ 67349. 182099.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215187damaged_cellDamage('37782003', 'SCT')[[ 67349. 181965.]\n", - " [ 67479. 181965.]\n", - " [ 67479. 182099.]\n", - " [ 67349. 182099.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215187damaged_cellDamage('37782003', 'SCT')[[ 67349. 181965.]\n", - " [ 67479. 181965.]\n", - " [ 67479. 182099.]\n", - " [ 67349. 182099.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215187damaged_cellDamage('37782003', 'SCT')[[ 67349. 181965.]\n", - " [ 67479. 181965.]\n", - " [ 67479. 182099.]\n", - " [ 67349. 182099.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215197no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67463. 181988.]\n", - " [ 67607. 181988.]\n", - " [ 67607. 182118.]\n", - " [ 67463. 182118.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67285. 182160.]\n", - " [ 67416. 182160.]\n", - " [ 67416. 182299.]\n", - " [ 67285. 182299.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67285. 182160.]\n", - " [ 67416. 182160.]\n", - " [ 67416. 182299.]\n", - " [ 67285. 182299.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67285. 182160.]\n", - " [ 67416. 182160.]\n", - " [ 67416. 182299.]\n", - " [ 67285. 182299.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67285. 182160.]\n", - " [ 67416. 182160.]\n", - " [ 67416. 182299.]\n", - " [ 67285. 182299.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67285. 182160.]\n", - " [ 67416. 182160.]\n", - " [ 67416. 182299.]\n", - " [ 67285. 182299.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215437neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67736. 182589.]\n", - " [ 67864. 182589.]\n", - " [ 67864. 182733.]\n", - " [ 67736. 182733.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215437neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67736. 182589.]\n", - " [ 67864. 182589.]\n", - " [ 67864. 182733.]\n", - " [ 67736. 182733.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215437neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67736. 182589.]\n", - " [ 67864. 182589.]\n", - " [ 67864. 182733.]\n", - " [ 67736. 182733.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215437neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67736. 182589.]\n", - " [ 67864. 182589.]\n", - " [ 67864. 182733.]\n", - " [ 67736. 182733.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215437neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67736. 182589.]\n", - " [ 67864. 182589.]\n", - " [ 67864. 182733.]\n", - " [ 67736. 182733.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215507no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68088. 182004.]\n", - " [ 68231. 182004.]\n", - " [ 68231. 182168.]\n", - " [ 68088. 182168.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215507no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68088. 182004.]\n", - " [ 68231. 182004.]\n", - " [ 68231. 182168.]\n", - " [ 68088. 182168.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215507no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68088. 182004.]\n", - " [ 68231. 182004.]\n", - " [ 68231. 182168.]\n", - " [ 68088. 182168.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215507no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68088. 182004.]\n", - " [ 68231. 182004.]\n", - " [ 68231. 182168.]\n", - " [ 68088. 182168.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215507no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68088. 182004.]\n", - " [ 68231. 182004.]\n", - " [ 68231. 182168.]\n", - " [ 68088. 182168.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215537no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68431. 181909.]\n", - " [ 68591. 181909.]\n", - " [ 68591. 182093.]\n", - " [ 68431. 182093.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215567no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68660. 181928.]\n", - " [ 68781. 181928.]\n", - " [ 68781. 182130.]\n", - " [ 68660. 182130.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215567no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68660. 181928.]\n", - " [ 68781. 181928.]\n", - " [ 68781. 182130.]\n", - " [ 68660. 182130.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215567no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68660. 181928.]\n", - " [ 68781. 181928.]\n", - " [ 68781. 182130.]\n", - " [ 68660. 182130.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215567no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68660. 181928.]\n", - " [ 68781. 181928.]\n", - " [ 68781. 182130.]\n", - " [ 68660. 182130.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215567no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68660. 181928.]\n", - " [ 68781. 181928.]\n", - " [ 68781. 182130.]\n", - " [ 68660. 182130.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215687no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68306. 182094.]\n", - " [ 68444. 182094.]\n", - " [ 68444. 182222.]\n", - " [ 68306. 182222.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215687no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68306. 182094.]\n", - " [ 68444. 182094.]\n", - " [ 68444. 182222.]\n", - " [ 68306. 182222.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215687no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68306. 182094.]\n", - " [ 68444. 182094.]\n", - " [ 68444. 182222.]\n", - " [ 68306. 182222.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215687no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68306. 182094.]\n", - " [ 68444. 182094.]\n", - " [ 68444. 182222.]\n", - " [ 68306. 182222.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215687no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68306. 182094.]\n", - " [ 68444. 182094.]\n", - " [ 68444. 182222.]\n", - " [ 68306. 182222.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215757no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68777. 181933.]\n", - " [ 68918. 181933.]\n", - " [ 68918. 182102.]\n", - " [ 68777. 182102.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215757no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68777. 181933.]\n", - " [ 68918. 181933.]\n", - " [ 68918. 182102.]\n", - " [ 68777. 182102.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215757no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68777. 181933.]\n", - " [ 68918. 181933.]\n", - " [ 68918. 182102.]\n", - " [ 68777. 182102.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215757no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68777. 181933.]\n", - " [ 68918. 181933.]\n", - " [ 68918. 182102.]\n", - " [ 68777. 182102.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215757no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68777. 181933.]\n", - " [ 68918. 181933.]\n", - " [ 68918. 182102.]\n", - " [ 68777. 182102.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215777segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68855. 181900.]\n", - " [ 69003. 181900.]\n", - " [ 69003. 182014.]\n", - " [ 68855. 182014.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215777segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68855. 181900.]\n", - " [ 69003. 181900.]\n", - " [ 69003. 182014.]\n", - " [ 68855. 182014.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215777segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68855. 181900.]\n", - " [ 69003. 181900.]\n", - " [ 69003. 182014.]\n", - " [ 68855. 182014.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215777segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68855. 181900.]\n", - " [ 69003. 181900.]\n", - " [ 69003. 182014.]\n", - " [ 68855. 182014.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 215777segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68855. 181900.]\n", - " [ 69003. 181900.]\n", - " [ 69003. 182014.]\n", - " [ 68855. 182014.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216017neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68545. 182363.]\n", - " [ 68676. 182363.]\n", - " [ 68676. 182510.]\n", - " [ 68545. 182510.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216017neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68545. 182363.]\n", - " [ 68676. 182363.]\n", - " [ 68676. 182510.]\n", - " [ 68545. 182510.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216017neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68545. 182363.]\n", - " [ 68676. 182363.]\n", - " [ 68676. 182510.]\n", - " [ 68545. 182510.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216017neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68545. 182363.]\n", - " [ 68676. 182363.]\n", - " [ 68676. 182510.]\n", - " [ 68545. 182510.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216017neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68545. 182363.]\n", - " [ 68676. 182363.]\n", - " [ 68676. 182510.]\n", - " [ 68545. 182510.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216057technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68663. 182518.]\n", - " [ 68772. 182518.]\n", - " [ 68772. 182631.]\n", - " [ 68663. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216057technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68663. 182518.]\n", - " [ 68772. 182518.]\n", - " [ 68772. 182631.]\n", - " [ 68663. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216057technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68663. 182518.]\n", - " [ 68772. 182518.]\n", - " [ 68772. 182631.]\n", - " [ 68663. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216057technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68663. 182518.]\n", - " [ 68772. 182518.]\n", - " [ 68772. 182631.]\n", - " [ 68663. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216057technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68663. 182518.]\n", - " [ 68772. 182518.]\n", - " [ 68772. 182631.]\n", - " [ 68663. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216087neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 68374. 182492.]\n", - " [ 68493. 182492.]\n", - " [ 68493. 182592.]\n", - " [ 68374. 182592.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216087neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 68374. 182492.]\n", - " [ 68493. 182492.]\n", - " [ 68493. 182592.]\n", - " [ 68374. 182592.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216087neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 68374. 182492.]\n", - " [ 68493. 182492.]\n", - " [ 68493. 182592.]\n", - " [ 68374. 182592.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216087neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 68374. 182492.]\n", - " [ 68493. 182492.]\n", - " [ 68493. 182592.]\n", - " [ 68374. 182592.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216087neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 68374. 182492.]\n", - " [ 68493. 182492.]\n", - " [ 68493. 182592.]\n", - " [ 68374. 182592.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216097segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68281. 182494.]\n", - " [ 68380. 182494.]\n", - " [ 68380. 182631.]\n", - " [ 68281. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216097segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68281. 182494.]\n", - " [ 68380. 182494.]\n", - " [ 68380. 182631.]\n", - " [ 68281. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216097segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68281. 182494.]\n", - " [ 68380. 182494.]\n", - " [ 68380. 182631.]\n", - " [ 68281. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216097segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68281. 182494.]\n", - " [ 68380. 182494.]\n", - " [ 68380. 182631.]\n", - " [ 68281. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216097segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 68281. 182494.]\n", - " [ 68380. 182494.]\n", - " [ 68380. 182631.]\n", - " [ 68281. 182631.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216137neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68140. 182518.]\n", - " [ 68292. 182518.]\n", - " [ 68292. 182668.]\n", - " [ 68140. 182668.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216137neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68140. 182518.]\n", - " [ 68292. 182518.]\n", - " [ 68292. 182668.]\n", - " [ 68140. 182668.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216137neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68140. 182518.]\n", - " [ 68292. 182518.]\n", - " [ 68292. 182668.]\n", - " [ 68140. 182668.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216137neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68140. 182518.]\n", - " [ 68292. 182518.]\n", - " [ 68292. 182668.]\n", - " [ 68140. 182668.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216137neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68140. 182518.]\n", - " [ 68292. 182518.]\n", - " [ 68292. 182668.]\n", - " [ 68140. 182668.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216167neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68144. 182667.]\n", - " [ 68255. 182667.]\n", - " [ 68255. 182791.]\n", - " [ 68144. 182791.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216167neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68144. 182667.]\n", - " [ 68255. 182667.]\n", - " [ 68255. 182791.]\n", - " [ 68144. 182791.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216167neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68144. 182667.]\n", - " [ 68255. 182667.]\n", - " [ 68255. 182791.]\n", - " [ 68144. 182791.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216167neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68144. 182667.]\n", - " [ 68255. 182667.]\n", - " [ 68255. 182791.]\n", - " [ 68144. 182791.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216167neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68144. 182667.]\n", - " [ 68255. 182667.]\n", - " [ 68255. 182791.]\n", - " [ 68144. 182791.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216197neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67865. 182698.]\n", - " [ 68004. 182698.]\n", - " [ 68004. 182845.]\n", - " [ 67865. 182845.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216197neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67865. 182698.]\n", - " [ 68004. 182698.]\n", - " [ 68004. 182845.]\n", - " [ 67865. 182845.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216197neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67865. 182698.]\n", - " [ 68004. 182698.]\n", - " [ 68004. 182845.]\n", - " [ 67865. 182845.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216197neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67865. 182698.]\n", - " [ 68004. 182698.]\n", - " [ 68004. 182845.]\n", - " [ 67865. 182845.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216197neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67865. 182698.]\n", - " [ 68004. 182698.]\n", - " [ 68004. 182845.]\n", - " [ 67865. 182845.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216247smudge_cellSmudge cell('34717007', 'SCT')[[ 67642. 182864.]\n", - " [ 67778. 182864.]\n", - " [ 67778. 183027.]\n", - " [ 67642. 183027.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216247smudge_cellSmudge cell('34717007', 'SCT')[[ 67642. 182864.]\n", - " [ 67778. 182864.]\n", - " [ 67778. 183027.]\n", - " [ 67642. 183027.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216247smudge_cellSmudge cell('34717007', 'SCT')[[ 67642. 182864.]\n", - " [ 67778. 182864.]\n", - " [ 67778. 183027.]\n", - " [ 67642. 183027.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216247smudge_cellSmudge cell('34717007', 'SCT')[[ 67642. 182864.]\n", - " [ 67778. 182864.]\n", - " [ 67778. 183027.]\n", - " [ 67642. 183027.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216247smudge_cellSmudge cell('34717007', 'SCT')[[ 67642. 182864.]\n", - " [ 67778. 182864.]\n", - " [ 67778. 183027.]\n", - " [ 67642. 183027.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67732. 182966.]\n", - " [ 67889. 182966.]\n", - " [ 67889. 183138.]\n", - " [ 67732. 183138.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67732. 182966.]\n", - " [ 67889. 182966.]\n", - " [ 67889. 183138.]\n", - " [ 67732. 183138.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67732. 182966.]\n", - " [ 67889. 182966.]\n", - " [ 67889. 183138.]\n", - " [ 67732. 183138.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67732. 182966.]\n", - " [ 67889. 182966.]\n", - " [ 67889. 183138.]\n", - " [ 67732. 183138.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216257neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 67732. 182966.]\n", - " [ 67889. 182966.]\n", - " [ 67889. 183138.]\n", - " [ 67732. 183138.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216397neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67920. 183366.]\n", - " [ 68042. 183366.]\n", - " [ 68042. 183516.]\n", - " [ 67920. 183516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216397neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67920. 183366.]\n", - " [ 68042. 183366.]\n", - " [ 68042. 183516.]\n", - " [ 67920. 183516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216397neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67920. 183366.]\n", - " [ 68042. 183366.]\n", - " [ 68042. 183516.]\n", - " [ 67920. 183516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216397neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67920. 183366.]\n", - " [ 68042. 183366.]\n", - " [ 68042. 183516.]\n", - " [ 67920. 183516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216397neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 67920. 183366.]\n", - " [ 68042. 183366.]\n", - " [ 68042. 183516.]\n", - " [ 67920. 183516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216447no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 67903. 183726.]\n", - " [ 68035. 183726.]\n", - " [ 68035. 183850.]\n", - " [ 67903. 183850.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216497neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68084. 183545.]\n", - " [ 68225. 183545.]\n", - " [ 68225. 183681.]\n", - " [ 68084. 183681.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216497neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68084. 183545.]\n", - " [ 68225. 183545.]\n", - " [ 68225. 183681.]\n", - " [ 68084. 183681.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216497neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68084. 183545.]\n", - " [ 68225. 183545.]\n", - " [ 68225. 183681.]\n", - " [ 68084. 183681.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216497neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68084. 183545.]\n", - " [ 68225. 183545.]\n", - " [ 68225. 183681.]\n", - " [ 68084. 183681.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216497neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68084. 183545.]\n", - " [ 68225. 183545.]\n", - " [ 68225. 183681.]\n", - " [ 68084. 183681.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216577technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68114. 183120.]\n", - " [ 68276. 183120.]\n", - " [ 68276. 183265.]\n", - " [ 68114. 183265.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216577technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68114. 183120.]\n", - " [ 68276. 183120.]\n", - " [ 68276. 183265.]\n", - " [ 68114. 183265.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216577technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68114. 183120.]\n", - " [ 68276. 183120.]\n", - " [ 68276. 183265.]\n", - " [ 68114. 183265.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216577technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68114. 183120.]\n", - " [ 68276. 183120.]\n", - " [ 68276. 183265.]\n", - " [ 68114. 183265.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216577technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 68114. 183120.]\n", - " [ 68276. 183120.]\n", - " [ 68276. 183265.]\n", - " [ 68114. 183265.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216797promyelocytePromyelocyte('43446009', 'SCT')[[ 69025. 183743.]\n", - " [ 69189. 183743.]\n", - " [ 69189. 183906.]\n", - " [ 69025. 183906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216797promyelocytePromyelocyte('43446009', 'SCT')[[ 69025. 183743.]\n", - " [ 69189. 183743.]\n", - " [ 69189. 183906.]\n", - " [ 69025. 183906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216797promyelocytePromyelocyte('43446009', 'SCT')[[ 69025. 183743.]\n", - " [ 69189. 183743.]\n", - " [ 69189. 183906.]\n", - " [ 69025. 183906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216797promyelocytePromyelocyte('43446009', 'SCT')[[ 69025. 183743.]\n", - " [ 69189. 183743.]\n", - " [ 69189. 183906.]\n", - " [ 69025. 183906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216797promyelocytePromyelocyte('43446009', 'SCT')[[ 69025. 183743.]\n", - " [ 69189. 183743.]\n", - " [ 69189. 183906.]\n", - " [ 69025. 183906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216907neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68806. 183164.]\n", - " [ 68940. 183164.]\n", - " [ 68940. 183298.]\n", - " [ 68806. 183298.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216907neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68806. 183164.]\n", - " [ 68940. 183164.]\n", - " [ 68940. 183298.]\n", - " [ 68806. 183298.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216907neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68806. 183164.]\n", - " [ 68940. 183164.]\n", - " [ 68940. 183298.]\n", - " [ 68806. 183298.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216907neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68806. 183164.]\n", - " [ 68940. 183164.]\n", - " [ 68940. 183298.]\n", - " [ 68806. 183298.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216907neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 68806. 183164.]\n", - " [ 68940. 183164.]\n", - " [ 68940. 183298.]\n", - " [ 68806. 183298.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216917neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69010. 183067.]\n", - " [ 69138. 183067.]\n", - " [ 69138. 183182.]\n", - " [ 69010. 183182.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216917neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69010. 183067.]\n", - " [ 69138. 183067.]\n", - " [ 69138. 183182.]\n", - " [ 69010. 183182.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216917neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69010. 183067.]\n", - " [ 69138. 183067.]\n", - " [ 69138. 183182.]\n", - " [ 69010. 183182.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216917neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69010. 183067.]\n", - " [ 69138. 183067.]\n", - " [ 69138. 183182.]\n", - " [ 69010. 183182.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216917neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69010. 183067.]\n", - " [ 69138. 183067.]\n", - " [ 69138. 183182.]\n", - " [ 69010. 183182.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216947degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[ 68661. 182955.]\n", - " [ 68831. 182955.]\n", - " [ 68831. 183105.]\n", - " [ 68661. 183105.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216947degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[ 68661. 182955.]\n", - " [ 68831. 182955.]\n", - " [ 68831. 183105.]\n", - " [ 68661. 183105.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216947degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[ 68661. 182955.]\n", - " [ 68831. 182955.]\n", - " [ 68831. 183105.]\n", - " [ 68661. 183105.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216947degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[ 68661. 182955.]\n", - " [ 68831. 182955.]\n", - " [ 68831. 183105.]\n", - " [ 68661. 183105.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216947degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[ 68661. 182955.]\n", - " [ 68831. 182955.]\n", - " [ 68831. 183105.]\n", - " [ 68661. 183105.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216977neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69000. 182919.]\n", - " [ 69142. 182919.]\n", - " [ 69142. 183069.]\n", - " [ 69000. 183069.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216977neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69000. 182919.]\n", - " [ 69142. 182919.]\n", - " [ 69142. 183069.]\n", - " [ 69000. 183069.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216977neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69000. 182919.]\n", - " [ 69142. 182919.]\n", - " [ 69142. 183069.]\n", - " [ 69000. 183069.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216977neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69000. 182919.]\n", - " [ 69142. 182919.]\n", - " [ 69142. 183069.]\n", - " [ 69000. 183069.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 216977neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 69000. 182919.]\n", - " [ 69142. 182919.]\n", - " [ 69142. 183069.]\n", - " [ 69000. 183069.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217017no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69022. 182609.]\n", - " [ 69154. 182609.]\n", - " [ 69154. 182762.]\n", - " [ 69022. 182762.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217017no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69022. 182609.]\n", - " [ 69154. 182609.]\n", - " [ 69154. 182762.]\n", - " [ 69022. 182762.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217017no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69022. 182609.]\n", - " [ 69154. 182609.]\n", - " [ 69154. 182762.]\n", - " [ 69022. 182762.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217017no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69022. 182609.]\n", - " [ 69154. 182609.]\n", - " [ 69154. 182762.]\n", - " [ 69022. 182762.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217017no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69022. 182609.]\n", - " [ 69154. 182609.]\n", - " [ 69154. 182762.]\n", - " [ 69022. 182762.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217027technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 69114. 182658.]\n", - " [ 69202. 182658.]\n", - " [ 69202. 182800.]\n", - " [ 69114. 182800.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217027technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 69114. 182658.]\n", - " [ 69202. 182658.]\n", - " [ 69202. 182800.]\n", - " [ 69114. 182800.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217027technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 69114. 182658.]\n", - " [ 69202. 182658.]\n", - " [ 69202. 182800.]\n", - " [ 69114. 182800.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217027technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 69114. 182658.]\n", - " [ 69202. 182658.]\n", - " [ 69202. 182800.]\n", - " [ 69114. 182800.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217027technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 69114. 182658.]\n", - " [ 69202. 182658.]\n", - " [ 69202. 182800.]\n", - " [ 69114. 182800.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217057no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69125. 182473.]\n", - " [ 69283. 182473.]\n", - " [ 69283. 182618.]\n", - " [ 69125. 182618.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217057no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69125. 182473.]\n", - " [ 69283. 182473.]\n", - " [ 69283. 182618.]\n", - " [ 69125. 182618.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217057no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69125. 182473.]\n", - " [ 69283. 182473.]\n", - " [ 69283. 182618.]\n", - " [ 69125. 182618.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217057no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69125. 182473.]\n", - " [ 69283. 182473.]\n", - " [ 69283. 182618.]\n", - " [ 69125. 182618.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217057no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 69125. 182473.]\n", - " [ 69283. 182473.]\n", - " [ 69283. 182618.]\n", - " [ 69125. 182618.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147unknown_blastBlast cell('312256009', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147unknown_blastBlast cell('312256009', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147unknown_blastBlast cell('312256009', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147unknown_blastBlast cell('312256009', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217147unknown_blastBlast cell('312256009', 'SCT')[[ 68699. 182652.]\n", - " [ 68812. 182652.]\n", - " [ 68812. 182787.]\n", - " [ 68699. 182787.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217167neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68782. 182750.]\n", - " [ 68918. 182750.]\n", - " [ 68918. 182895.]\n", - " [ 68782. 182895.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217167neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68782. 182750.]\n", - " [ 68918. 182750.]\n", - " [ 68918. 182895.]\n", - " [ 68782. 182895.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217167neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68782. 182750.]\n", - " [ 68918. 182750.]\n", - " [ 68918. 182895.]\n", - " [ 68782. 182895.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217167neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68782. 182750.]\n", - " [ 68918. 182750.]\n", - " [ 68918. 182895.]\n", - " [ 68782. 182895.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217167neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 68782. 182750.]\n", - " [ 68918. 182750.]\n", - " [ 68918. 182895.]\n", - " [ 68782. 182895.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217258segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 85708. 188364.]\n", - " [ 85807. 188364.]\n", - " [ 85807. 188441.]\n", - " [ 85708. 188441.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217258segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 85708. 188364.]\n", - " [ 85807. 188364.]\n", - " [ 85807. 188441.]\n", - " [ 85708. 188441.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217258segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 85708. 188364.]\n", - " [ 85807. 188364.]\n", - " [ 85807. 188441.]\n", - " [ 85708. 188441.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217258segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 85708. 188364.]\n", - " [ 85807. 188364.]\n", - " [ 85807. 188441.]\n", - " [ 85708. 188441.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217258segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 85708. 188364.]\n", - " [ 85807. 188364.]\n", - " [ 85807. 188441.]\n", - " [ 85708. 188441.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217318technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 85587. 188448.]\n", - " [ 85735. 188448.]\n", - " [ 85735. 188593.]\n", - " [ 85587. 188593.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217318technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 85587. 188448.]\n", - " [ 85735. 188448.]\n", - " [ 85735. 188593.]\n", - " [ 85587. 188593.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217318technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 85587. 188448.]\n", - " [ 85735. 188448.]\n", - " [ 85735. 188593.]\n", - " [ 85587. 188593.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217318technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 85587. 188448.]\n", - " [ 85735. 188448.]\n", - " [ 85735. 188593.]\n", - " [ 85587. 188593.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217318technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 85587. 188448.]\n", - " [ 85735. 188448.]\n", - " [ 85735. 188593.]\n", - " [ 85587. 188593.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217368no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85688. 188769.]\n", - " [ 85787. 188769.]\n", - " [ 85787. 188917.]\n", - " [ 85688. 188917.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217368no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85688. 188769.]\n", - " [ 85787. 188769.]\n", - " [ 85787. 188917.]\n", - " [ 85688. 188917.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217368no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85688. 188769.]\n", - " [ 85787. 188769.]\n", - " [ 85787. 188917.]\n", - " [ 85688. 188917.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217368no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85688. 188769.]\n", - " [ 85787. 188769.]\n", - " [ 85787. 188917.]\n", - " [ 85688. 188917.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217368no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85688. 188769.]\n", - " [ 85787. 188769.]\n", - " [ 85787. 188917.]\n", - " [ 85688. 188917.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217448neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86080. 188420.]\n", - " [ 86250. 188420.]\n", - " [ 86250. 188565.]\n", - " [ 86080. 188565.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217448neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86080. 188420.]\n", - " [ 86250. 188420.]\n", - " [ 86250. 188565.]\n", - " [ 86080. 188565.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217448neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86080. 188420.]\n", - " [ 86250. 188420.]\n", - " [ 86250. 188565.]\n", - " [ 86080. 188565.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217448neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86080. 188420.]\n", - " [ 86250. 188420.]\n", - " [ 86250. 188565.]\n", - " [ 86080. 188565.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217448neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86080. 188420.]\n", - " [ 86250. 188420.]\n", - " [ 86250. 188565.]\n", - " [ 86080. 188565.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217468segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 86222. 188255.]\n", - " [ 86360. 188255.]\n", - " [ 86360. 188387.]\n", - " [ 86222. 188387.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217468segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 86222. 188255.]\n", - " [ 86360. 188255.]\n", - " [ 86360. 188387.]\n", - " [ 86222. 188387.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217468segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 86222. 188255.]\n", - " [ 86360. 188255.]\n", - " [ 86360. 188387.]\n", - " [ 86222. 188387.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217468segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 86222. 188255.]\n", - " [ 86360. 188255.]\n", - " [ 86360. 188387.]\n", - " [ 86222. 188387.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217468segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 86222. 188255.]\n", - " [ 86360. 188255.]\n", - " [ 86360. 188387.]\n", - " [ 86222. 188387.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217608no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86757. 188470.]\n", - " [ 86799. 188470.]\n", - " [ 86799. 188516.]\n", - " [ 86757. 188516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217608no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86757. 188470.]\n", - " [ 86799. 188470.]\n", - " [ 86799. 188516.]\n", - " [ 86757. 188516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217608no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86757. 188470.]\n", - " [ 86799. 188470.]\n", - " [ 86799. 188516.]\n", - " [ 86757. 188516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217608no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86757. 188470.]\n", - " [ 86799. 188470.]\n", - " [ 86799. 188516.]\n", - " [ 86757. 188516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217608no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86757. 188470.]\n", - " [ 86799. 188470.]\n", - " [ 86799. 188516.]\n", - " [ 86757. 188516.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217618damaged_cellDamage('37782003', 'SCT')[[ 86928. 188120.]\n", - " [ 87058. 188120.]\n", - " [ 87058. 188398.]\n", - " [ 86928. 188398.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217618damaged_cellDamage('37782003', 'SCT')[[ 86928. 188120.]\n", - " [ 87058. 188120.]\n", - " [ 87058. 188398.]\n", - " [ 86928. 188398.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217618damaged_cellDamage('37782003', 'SCT')[[ 86928. 188120.]\n", - " [ 87058. 188120.]\n", - " [ 87058. 188398.]\n", - " [ 86928. 188398.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217618damaged_cellDamage('37782003', 'SCT')[[ 86928. 188120.]\n", - " [ 87058. 188120.]\n", - " [ 87058. 188398.]\n", - " [ 86928. 188398.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217618damaged_cellDamage('37782003', 'SCT')[[ 86928. 188120.]\n", - " [ 87058. 188120.]\n", - " [ 87058. 188398.]\n", - " [ 86928. 188398.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217798proerythroblastProerythroblast('16671004', 'SCT')[[ 86920. 188710.]\n", - " [ 87088. 188710.]\n", - " [ 87088. 188848.]\n", - " [ 86920. 188848.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217798proerythroblastProerythroblast('16671004', 'SCT')[[ 86920. 188710.]\n", - " [ 87088. 188710.]\n", - " [ 87088. 188848.]\n", - " [ 86920. 188848.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217798proerythroblastProerythroblast('16671004', 'SCT')[[ 86920. 188710.]\n", - " [ 87088. 188710.]\n", - " [ 87088. 188848.]\n", - " [ 86920. 188848.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217798proerythroblastProerythroblast('16671004', 'SCT')[[ 86920. 188710.]\n", - " [ 87088. 188710.]\n", - " [ 87088. 188848.]\n", - " [ 86920. 188848.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217798proerythroblastProerythroblast('16671004', 'SCT')[[ 86920. 188710.]\n", - " [ 87088. 188710.]\n", - " [ 87088. 188848.]\n", - " [ 86920. 188848.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217828segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 87275. 188747.]\n", - " [ 87366. 188747.]\n", - " [ 87366. 188830.]\n", - " [ 87275. 188830.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217828segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 87275. 188747.]\n", - " [ 87366. 188747.]\n", - " [ 87366. 188830.]\n", - " [ 87275. 188830.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217828segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 87275. 188747.]\n", - " [ 87366. 188747.]\n", - " [ 87366. 188830.]\n", - " [ 87275. 188830.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217828segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 87275. 188747.]\n", - " [ 87366. 188747.]\n", - " [ 87366. 188830.]\n", - " [ 87275. 188830.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217828segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[ 87275. 188747.]\n", - " [ 87366. 188747.]\n", - " [ 87366. 188830.]\n", - " [ 87275. 188830.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217918neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86888. 188844.]\n", - " [ 87066. 188844.]\n", - " [ 87066. 189031.]\n", - " [ 86888. 189031.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217918neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86888. 188844.]\n", - " [ 87066. 188844.]\n", - " [ 87066. 189031.]\n", - " [ 86888. 189031.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217918neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86888. 188844.]\n", - " [ 87066. 188844.]\n", - " [ 87066. 189031.]\n", - " [ 86888. 189031.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217918neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86888. 188844.]\n", - " [ 87066. 188844.]\n", - " [ 87066. 189031.]\n", - " [ 86888. 189031.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217918neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86888. 188844.]\n", - " [ 87066. 188844.]\n", - " [ 87066. 189031.]\n", - " [ 86888. 189031.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217968no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85701. 189069.]\n", - " [ 85824. 189069.]\n", - " [ 85824. 189209.]\n", - " [ 85701. 189209.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217968no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85701. 189069.]\n", - " [ 85824. 189069.]\n", - " [ 85824. 189209.]\n", - " [ 85701. 189209.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217968no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85701. 189069.]\n", - " [ 85824. 189069.]\n", - " [ 85824. 189209.]\n", - " [ 85701. 189209.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217968no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85701. 189069.]\n", - " [ 85824. 189069.]\n", - " [ 85824. 189209.]\n", - " [ 85701. 189209.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217968no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85701. 189069.]\n", - " [ 85824. 189069.]\n", - " [ 85824. 189209.]\n", - " [ 85701. 189209.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217998no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85995. 188774.]\n", - " [ 86144. 188774.]\n", - " [ 86144. 188944.]\n", - " [ 85995. 188944.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217998no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85995. 188774.]\n", - " [ 86144. 188774.]\n", - " [ 86144. 188944.]\n", - " [ 85995. 188944.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217998no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85995. 188774.]\n", - " [ 86144. 188774.]\n", - " [ 86144. 188944.]\n", - " [ 85995. 188944.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217998no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85995. 188774.]\n", - " [ 86144. 188774.]\n", - " [ 86144. 188944.]\n", - " [ 85995. 188944.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 217998no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85995. 188774.]\n", - " [ 86144. 188774.]\n", - " [ 86144. 188944.]\n", - " [ 85995. 188944.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218028neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 86227. 188743.]\n", - " [ 86351. 188743.]\n", - " [ 86351. 188867.]\n", - " [ 86227. 188867.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218028neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 86227. 188743.]\n", - " [ 86351. 188743.]\n", - " [ 86351. 188867.]\n", - " [ 86227. 188867.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218028neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 86227. 188743.]\n", - " [ 86351. 188743.]\n", - " [ 86351. 188867.]\n", - " [ 86227. 188867.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218028neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 86227. 188743.]\n", - " [ 86351. 188743.]\n", - " [ 86351. 188867.]\n", - " [ 86227. 188867.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218028neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[ 86227. 188743.]\n", - " [ 86351. 188743.]\n", - " [ 86351. 188867.]\n", - " [ 86227. 188867.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218158neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 86168. 188898.]\n", - " [ 86277. 188898.]\n", - " [ 86277. 189056.]\n", - " [ 86168. 189056.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218158neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 86168. 188898.]\n", - " [ 86277. 188898.]\n", - " [ 86277. 189056.]\n", - " [ 86168. 189056.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218158neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 86168. 188898.]\n", - " [ 86277. 188898.]\n", - " [ 86277. 189056.]\n", - " [ 86168. 189056.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218158neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 86168. 188898.]\n", - " [ 86277. 188898.]\n", - " [ 86277. 189056.]\n", - " [ 86168. 189056.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218158neutrophilic_bandBand neutrophil('702697008', 'SCT')[[ 86168. 188898.]\n", - " [ 86277. 188898.]\n", - " [ 86277. 189056.]\n", - " [ 86168. 189056.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218168no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86274. 188854.]\n", - " [ 86385. 188854.]\n", - " [ 86385. 189028.]\n", - " [ 86274. 189028.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218168no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86274. 188854.]\n", - " [ 86385. 188854.]\n", - " [ 86385. 189028.]\n", - " [ 86274. 189028.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218168no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86274. 188854.]\n", - " [ 86385. 188854.]\n", - " [ 86385. 189028.]\n", - " [ 86274. 189028.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218168no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86274. 188854.]\n", - " [ 86385. 188854.]\n", - " [ 86385. 189028.]\n", - " [ 86274. 189028.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218168no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86274. 188854.]\n", - " [ 86385. 188854.]\n", - " [ 86385. 189028.]\n", - " [ 86274. 189028.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218188neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86340. 189000.]\n", - " [ 86450. 189000.]\n", - " [ 86450. 189112.]\n", - " [ 86340. 189112.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218188neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86340. 189000.]\n", - " [ 86450. 189000.]\n", - " [ 86450. 189112.]\n", - " [ 86340. 189112.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218188neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86340. 189000.]\n", - " [ 86450. 189000.]\n", - " [ 86450. 189112.]\n", - " [ 86340. 189112.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218188neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86340. 189000.]\n", - " [ 86450. 189000.]\n", - " [ 86450. 189112.]\n", - " [ 86340. 189112.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218188neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86340. 189000.]\n", - " [ 86450. 189000.]\n", - " [ 86450. 189112.]\n", - " [ 86340. 189112.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218208degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 86355. 188767.]\n", - " [ 86487. 188767.]\n", - " [ 86487. 188906.]\n", - " [ 86355. 188906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218208degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 86355. 188767.]\n", - " [ 86487. 188767.]\n", - " [ 86487. 188906.]\n", - " [ 86355. 188906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218208degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 86355. 188767.]\n", - " [ 86487. 188767.]\n", - " [ 86487. 188906.]\n", - " [ 86355. 188906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218208degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 86355. 188767.]\n", - " [ 86487. 188767.]\n", - " [ 86487. 188906.]\n", - " [ 86355. 188906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218208degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 86355. 188767.]\n", - " [ 86487. 188767.]\n", - " [ 86487. 188906.]\n", - " [ 86355. 188906.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218348neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86331. 189713.]\n", - " [ 86467. 189713.]\n", - " [ 86467. 189857.]\n", - " [ 86331. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218348neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86331. 189713.]\n", - " [ 86467. 189713.]\n", - " [ 86467. 189857.]\n", - " [ 86331. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218348neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86331. 189713.]\n", - " [ 86467. 189713.]\n", - " [ 86467. 189857.]\n", - " [ 86331. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218348neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86331. 189713.]\n", - " [ 86467. 189713.]\n", - " [ 86467. 189857.]\n", - " [ 86331. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218348neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86331. 189713.]\n", - " [ 86467. 189713.]\n", - " [ 86467. 189857.]\n", - " [ 86331. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218358technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[ 86437. 189648.]\n", - " [ 86554. 189648.]\n", - " [ 86554. 189789.]\n", - " [ 86437. 189789.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218398neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86502. 189700.]\n", - " [ 86649. 189700.]\n", - " [ 86649. 189857.]\n", - " [ 86502. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218398neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86502. 189700.]\n", - " [ 86649. 189700.]\n", - " [ 86649. 189857.]\n", - " [ 86502. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218398neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86502. 189700.]\n", - " [ 86649. 189700.]\n", - " [ 86649. 189857.]\n", - " [ 86502. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218398neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86502. 189700.]\n", - " [ 86649. 189700.]\n", - " [ 86649. 189857.]\n", - " [ 86502. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218398neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 86502. 189700.]\n", - " [ 86649. 189700.]\n", - " [ 86649. 189857.]\n", - " [ 86502. 189857.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218618no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85601. 190161.]\n", - " [ 85775. 190161.]\n", - " [ 85775. 190320.]\n", - " [ 85601. 190320.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218618no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85601. 190161.]\n", - " [ 85775. 190161.]\n", - " [ 85775. 190320.]\n", - " [ 85601. 190320.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218618no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85601. 190161.]\n", - " [ 85775. 190161.]\n", - " [ 85775. 190320.]\n", - " [ 85601. 190320.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218618no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85601. 190161.]\n", - " [ 85775. 190161.]\n", - " [ 85775. 190320.]\n", - " [ 85601. 190320.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218618no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85601. 190161.]\n", - " [ 85775. 190161.]\n", - " [ 85775. 190320.]\n", - " [ 85601. 190320.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218828no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86889. 189289.]\n", - " [ 87040. 189289.]\n", - " [ 87040. 189432.]\n", - " [ 86889. 189432.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218828no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86889. 189289.]\n", - " [ 87040. 189289.]\n", - " [ 87040. 189432.]\n", - " [ 86889. 189432.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218828no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86889. 189289.]\n", - " [ 87040. 189289.]\n", - " [ 87040. 189432.]\n", - " [ 86889. 189432.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218828no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86889. 189289.]\n", - " [ 87040. 189289.]\n", - " [ 87040. 189432.]\n", - " [ 86889. 189432.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 218828no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 86889. 189289.]\n", - " [ 87040. 189289.]\n", - " [ 87040. 189432.]\n", - " [ 86889. 189432.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219028neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 87144. 189623.]\n", - " [ 87306. 189623.]\n", - " [ 87306. 189781.]\n", - " [ 87144. 189781.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219028neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 87144. 189623.]\n", - " [ 87306. 189623.]\n", - " [ 87306. 189781.]\n", - " [ 87144. 189781.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219028neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 87144. 189623.]\n", - " [ 87306. 189623.]\n", - " [ 87306. 189781.]\n", - " [ 87144. 189781.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219028neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 87144. 189623.]\n", - " [ 87306. 189623.]\n", - " [ 87306. 189781.]\n", - " [ 87144. 189781.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219028neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[ 87144. 189623.]\n", - " [ 87306. 189623.]\n", - " [ 87306. 189781.]\n", - " [ 87144. 189781.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219118no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87225. 190020.]\n", - " [ 87365. 190020.]\n", - " [ 87365. 190132.]\n", - " [ 87225. 190132.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219118no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87225. 190020.]\n", - " [ 87365. 190020.]\n", - " [ 87365. 190132.]\n", - " [ 87225. 190132.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219118no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87225. 190020.]\n", - " [ 87365. 190020.]\n", - " [ 87365. 190132.]\n", - " [ 87225. 190132.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219118no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87225. 190020.]\n", - " [ 87365. 190020.]\n", - " [ 87365. 190132.]\n", - " [ 87225. 190132.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219118no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87225. 190020.]\n", - " [ 87365. 190020.]\n", - " [ 87365. 190132.]\n", - " [ 87225. 190132.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219188no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87185. 190232.]\n", - " [ 87375. 190232.]\n", - " [ 87375. 190361.]\n", - " [ 87185. 190361.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219188no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87185. 190232.]\n", - " [ 87375. 190232.]\n", - " [ 87375. 190361.]\n", - " [ 87185. 190361.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219188no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87185. 190232.]\n", - " [ 87375. 190232.]\n", - " [ 87375. 190361.]\n", - " [ 87185. 190361.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219188no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87185. 190232.]\n", - " [ 87375. 190232.]\n", - " [ 87375. 190361.]\n", - " [ 87185. 190361.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219188no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 87185. 190232.]\n", - " [ 87375. 190232.]\n", - " [ 87375. 190361.]\n", - " [ 87185. 190361.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219218degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 87240. 190298.]\n", - " [ 87425. 190298.]\n", - " [ 87425. 190473.]\n", - " [ 87240. 190473.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219218degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 87240. 190298.]\n", - " [ 87425. 190298.]\n", - " [ 87425. 190473.]\n", - " [ 87240. 190473.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219218degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 87240. 190298.]\n", - " [ 87425. 190298.]\n", - " [ 87425. 190473.]\n", - " [ 87240. 190473.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219218degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 87240. 190298.]\n", - " [ 87425. 190298.]\n", - " [ 87425. 190473.]\n", - " [ 87240. 190473.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219218degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[ 87240. 190298.]\n", - " [ 87425. 190298.]\n", - " [ 87425. 190473.]\n", - " [ 87240. 190473.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268damaged_cellDamage('37782003', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268damaged_cellDamage('37782003', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268damaged_cellDamage('37782003', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268damaged_cellDamage('37782003', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268damaged_cellDamage('37782003', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219268no_consensus_foundStructure of haematological system('414387006', 'SCT')[[ 85642. 189293.]\n", - " [ 85691. 189293.]\n", - " [ 85691. 189370.]\n", - " [ 85642. 189370.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219398damaged_cellDamage('37782003', 'SCT')[[ 87191. 189280.]\n", - " [ 87377. 189280.]\n", - " [ 87377. 189493.]\n", - " [ 87191. 189493.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219398damaged_cellDamage('37782003', 'SCT')[[ 87191. 189280.]\n", - " [ 87377. 189280.]\n", - " [ 87377. 189493.]\n", - " [ 87191. 189493.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219398damaged_cellDamage('37782003', 'SCT')[[ 87191. 189280.]\n", - " [ 87377. 189280.]\n", - " [ 87377. 189493.]\n", - " [ 87191. 189493.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219398damaged_cellDamage('37782003', 'SCT')[[ 87191. 189280.]\n", - " [ 87377. 189280.]\n", - " [ 87377. 189493.]\n", - " [ 87191. 189493.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384
1.2.826.0.1.3680043.10.511.3.10038390733944282042123343426373413Session 219398damaged_cellDamage('37782003', 'SCT')[[ 87191. 189280.]\n", - " [ 87377. 189280.]\n", - " [ 87377. 189493.]\n", - " [ 87191. 189493.]]1.2.826.0.1.3680043.8.498.826925794001878559469589635736574010711.2.826.0.1.3680043.8.498.802250916710867952581651232104502803841.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2837659lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109827. 255830.]\n", + " [109954. 255830.]\n", + " [109954. 255932.]\n", + " [109827. 255932.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2838559technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[110157. 255934.]\n", + " [110333. 255934.]\n", + " [110333. 256038.]\n", + " [110157. 256038.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840659segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110567. 256187.]\n", + " [110658. 256187.]\n", + " [110658. 256263.]\n", + " [110567. 256263.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840859neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[110675. 256201.]\n", + " [110783. 256201.]\n", + " [110783. 256319.]\n", + " [110675. 256319.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2840959neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[110741. 256148.]\n", + " [110862. 256148.]\n", + " [110862. 256254.]\n", + " [110741. 256254.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2841259degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110559. 256313.]\n", + " [110684. 256313.]\n", + " [110684. 256441.]\n", + " [110559. 256441.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842159neutrophilic_bandBand neutrophil('702697008', 'SCT')[[110879. 256480.]\n", + " [111016. 256480.]\n", + " [111016. 256613.]\n", + " [110879. 256613.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2842759eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[110966. 256388.]\n", + " [111104. 256388.]\n", + " [111104. 256519.]\n", + " [110966. 256519.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843659eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111364. 256483.]\n", + " [111494. 256483.]\n", + " [111494. 256606.]\n", + " [111364. 256606.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2843859neutrophilic_bandBand neutrophil('702697008', 'SCT')[[111598. 256363.]\n", + " [111716. 256363.]\n", + " [111716. 256490.]\n", + " [111598. 256490.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2844859eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[111306. 256785.]\n", + " [111434. 256785.]\n", + " [111434. 256964.]\n", + " [111306. 256964.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2845659damaged_cellDamage('37782003', 'SCT')[[109875. 256421.]\n", + " [109973. 256421.]\n", + " [109973. 256505.]\n", + " [109875. 256505.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846059polychromatic_erythroblastPolychromatophilic erythroblast('16779009', 'SCT')[[109819. 256727.]\n", + " [109904. 256727.]\n", + " [109904. 256817.]\n", + " [109819. 256817.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2846559lymphoidocyteReactive Lymphocyte('C12847', 'NCIt')[[109807. 256960.]\n", + " [109915. 256960.]\n", + " [109915. 257062.]\n", + " [109807. 257062.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2847259lymphocyteLymphocyte('56972008', 'SCT')[[109918. 257128.]\n", + " [110034. 257128.]\n", + " [110034. 257229.]\n", + " [109918. 257229.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2848659degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[110374. 257242.]\n", + " [110514. 257242.]\n", + " [110514. 257382.]\n", + " [110374. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2849059damaged_cellDamage('37782003', 'SCT')[[110568. 257540.]\n", + " [110728. 257540.]\n", + " [110728. 257665.]\n", + " [110568. 257665.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2850059damaged_cellDamage('37782003', 'SCT')[[109865. 257792.]\n", + " [109988. 257792.]\n", + " [109988. 257930.]\n", + " [109865. 257930.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851059basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[110820. 257017.]\n", + " [110973. 257017.]\n", + " [110973. 257127.]\n", + " [110820. 257127.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851159segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[110950. 256967.]\n", + " [111064. 256967.]\n", + " [111064. 257079.]\n", + " [110950. 257079.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2851559monocyteMonocyte('55918008', 'SCT')[[111011. 257080.]\n", + " [111162. 257080.]\n", + " [111162. 257280.]\n", + " [111011. 257280.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852159monocyteMonocyte('55918008', 'SCT')[[111127. 257272.]\n", + " [111252. 257272.]\n", + " [111252. 257382.]\n", + " [111127. 257382.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2852959lymphocyteLymphocyte('56972008', 'SCT')[[111024. 257584.]\n", + " [111151. 257584.]\n", + " [111151. 257688.]\n", + " [111024. 257688.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853159neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111148. 257398.]\n", + " [111333. 257398.]\n", + " [111333. 257563.]\n", + " [111148. 257563.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853359neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111120. 257522.]\n", + " [111266. 257522.]\n", + " [111266. 257695.]\n", + " [111120. 257695.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853459neutrophilic_myelocyteNeutrophilic myelocyte('4717004', 'SCT')[[111245. 257534.]\n", + " [111361. 257534.]\n", + " [111361. 257652.]\n", + " [111245. 257652.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2853559promyelocytePromyelocyte('43446009', 'SCT')[[111352. 257542.]\n", + " [111487. 257542.]\n", + " [111487. 257681.]\n", + " [111352. 257681.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855360eosinophilic_myelocyteEosinophilic myelocyte('90961003', 'SCT')[[155262. 251800.]\n", + " [155414. 251800.]\n", + " [155414. 251955.]\n", + " [155262. 251955.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2855560monocyteMonocyte('55918008', 'SCT')[[155715. 251795.]\n", + " [155845. 251795.]\n", + " [155845. 251927.]\n", + " [155715. 251927.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2856360damaged_cellDamage('37782003', 'SCT')[[155722. 251973.]\n", + " [155797. 251973.]\n", + " [155797. 252099.]\n", + " [155722. 252099.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857360promyelocytePromyelocyte('43446009', 'SCT')[[155199. 252285.]\n", + " [155356. 252285.]\n", + " [155356. 252449.]\n", + " [155199. 252449.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857560monocyteMonocyte('55918008', 'SCT')[[155121. 252427.]\n", + " [155265. 252427.]\n", + " [155265. 252545.]\n", + " [155121. 252545.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857760monocyteMonocyte('55918008', 'SCT')[[155271. 252576.]\n", + " [155398. 252576.]\n", + " [155398. 252708.]\n", + " [155271. 252708.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2857960degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[155325. 252683.]\n", + " [155469. 252683.]\n", + " [155469. 252835.]\n", + " [155325. 252835.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859060artifactArtifact('47973001', 'SCT')[[155355. 253167.]\n", + " [155480. 253167.]\n", + " [155480. 253324.]\n", + " [155355. 253324.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2859360monocyteMonocyte('55918008', 'SCT')[[155178. 253344.]\n", + " [155320. 253344.]\n", + " [155320. 253482.]\n", + " [155178. 253482.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2860960segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156957. 251510.]\n", + " [157079. 251510.]\n", + " [157079. 251631.]\n", + " [156957. 251631.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861560degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[157215. 251844.]\n", + " [157316. 251844.]\n", + " [157316. 251971.]\n", + " [157215. 251971.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2861860neutrophil_extracellular_trapNeutrophil Extracellular Trap('C180931', 'NCIt')[[156911. 251968.]\n", + " [157072. 251968.]\n", + " [157072. 252171.]\n", + " [156911. 252171.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2862860monocyteMonocyte('55918008', 'SCT')[[156493. 252224.]\n", + " [156639. 252224.]\n", + " [156639. 252369.]\n", + " [156493. 252369.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863060basophilic_myelocyteBasophilic myelocyte('17295002', 'SCT')[[156583. 252331.]\n", + " [156712. 252331.]\n", + " [156712. 252467.]\n", + " [156583. 252467.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2863260monocyteMonocyte('55918008', 'SCT')[[156856. 252208.]\n", + " [156996. 252208.]\n", + " [156996. 252344.]\n", + " [156856. 252344.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864160neutrophilic_bandBand neutrophil('702697008', 'SCT')[[155712. 252333.]\n", + " [155799. 252333.]\n", + " [155799. 252435.]\n", + " [155712. 252435.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864560promyelocytePromyelocyte('43446009', 'SCT')[[155772. 252548.]\n", + " [155953. 252548.]\n", + " [155953. 252716.]\n", + " [155772. 252716.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2864960neutrophilic_metamyelocyteNeutrophilic metamyelocyte('50134008', 'SCT')[[156167. 252348.]\n", + " [156249. 252348.]\n", + " [156249. 252446.]\n", + " [156167. 252446.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2865760monocytic_blastMonoblast('53945006', 'SCT')[[155856. 252817.]\n", + " [156040. 252817.]\n", + " [156040. 253004.]\n", + " [155856. 253004.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2866660artifactArtifact('47973001', 'SCT')[[155487. 253468.]\n", + " [155678. 253468.]\n", + " [155678. 253669.]\n", + " [155487. 253669.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867060degranulated_neutrophilic_myelocyteHypogranular white blood cell('250292003', 'SCT')[[156652. 252582.]\n", + " [156816. 252582.]\n", + " [156816. 252751.]\n", + " [156652. 252751.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2867160segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156496. 252723.]\n", + " [156615. 252723.]\n", + " [156615. 252847.]\n", + " [156496. 252847.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2868060degranulated_neutrophilic_metamyelocyteNeutrophil with Cytoplasmic Hypogranularity('C37174', 'NCIt')[[156329. 253032.]\n", + " [156443. 253032.]\n", + " [156443. 253163.]\n", + " [156329. 253163.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869060eosinophilic_metamyelocyteEosinophilic metamyelocyte('80036001', 'SCT')[[156172. 253446.]\n", + " [156323. 253446.]\n", + " [156323. 253589.]\n", + " [156172. 253589.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2869260promonocytePromonocyte('1075005', 'SCT')[[156361. 253462.]\n", + " [156542. 253462.]\n", + " [156542. 253647.]\n", + " [156361. 253647.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870760artifactArtifact('47973001', 'SCT')[[157037. 252295.]\n", + " [157190. 252295.]\n", + " [157190. 252510.]\n", + " [157037. 252510.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2870860monocyteMonocyte('55918008', 'SCT')[[156951. 252312.]\n", + " [157073. 252312.]\n", + " [157073. 252451.]\n", + " [156951. 252451.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2871860segmented_neutrophilSegmented neutrophil('80153006', 'SCT')[[156928. 252996.]\n", + " [157056. 252996.]\n", + " [157056. 253121.]\n", + " [156928. 253121.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873559damaged_cellDamage('37782003', 'SCT')[[110522. 255871.]\n", + " [110799. 255871.]\n", + " [110799. 256128.]\n", + " [110522. 256128.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873659technically_unfitUnusable - Quality renders image unusable('111235', 'DCM')[[109991. 257112.]\n", + " [110084. 257112.]\n", + " [110084. 257260.]\n", + " [109991. 257260.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
1.2.826.0.1.3680043.10.511.3.100017787120308535698448896077974Session 2873960damaged_cellDamage('37782003', 'SCT')[[155881. 252383.]\n", + " [156097. 252383.]\n", + " [156097. 252744.]\n", + " [155881. 252744.]]1.2.826.0.1.3680043.8.498.968184422142525227553540655365505256311.2.826.0.1.3680043.8.498.10262969914476589371860492229036031129
\n" - ], - "text/plain": [ - "" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], "source": [ @@ -11395,30 +11557,86 @@ "source": [ "## How to use the `BoneMarrowWSI-PediatricLeukemia` annotations\n", "The `BoneMarrowWSI-PediatricLeukemia` collection stands out due to the large amount of information contained in its annotations. More than 40,000 cells are annotated with bounding boxes suitable for training **cell detection models**, 28,000 of those additionally received expert-generated labels for **cell type classification** tasks. Particularly noteworthy is the uncertainty information embedded in the consensus labeling process, giving insight into which cell types are particularly challenging to determine or easy to confuse with others.\n", - "In the cell below, we catch some of those cases and display them in a confusion matrix: " + "In the cell below, we catch some of those cases and display them in a confusion matrix:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 422 + "height": 681 }, "id": "v2qI9zT4t76Z", - "outputId": "d3b1fb80-93c6-429c-e346-6ee117e8742c" + "outputId": "ef13d87c-b353-49f8-f9fe-bddb74996c47" }, "outputs": [ { + "output_type": "display_data", "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "summary": "{\n \"name\": \"display(grouped_cell_labels[uncertain])\",\n \"rows\": 7,\n \"fields\": [\n {\n \"column\": \"cell_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11083,\n \"min\": 1519,\n \"max\": 31020,\n \"num_unique_values\": 7,\n \"samples\": [\n 1519,\n 1553,\n 1926\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_label\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_label_code_scheme\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"reference_SOPInstanceUID\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"1.2.826.0.1.3680043.8.498.17910403824742244732861652278168977445\",\n \"1.2.826.0.1.3680043.8.498.80225091671086795258165123210450280384\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_coordinates\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", - "type": "dataframe" - }, + "text/plain": [ + " cell_label \\\n", + "cell_id \n", + "122 [Damage, Damage, Damage, Damage, Damage, Damag... \n", + "123 [Damage, Damage, Damage, Damage, Damage, Damag... \n", + "126 [Eosinophils.band form, Eosinophils.band form,... \n", + "127 [Neutrophilic myelocyte, Neutrophilic myelocyt... \n", + "244 [Megakaryocyte, Megakaryocyte, Megakaryocyte, ... \n", + "... ... \n", + "45986 [Lymphocyte, Lymphocyte, Lymphocyte, Lymphocyt... \n", + "45987 [Myeloblast, Myeloblast, Myeloblast, Myeloblas... \n", + "45998 [Lymphocyte, Lymphocyte, Lymphocyte, Lymphocyt... \n", + "46016 [Lymphocyte, Lymphocyte, Lymphocyte, Lymphocyt... \n", + "46059 [Blast cell, Blast cell, Blast cell, Blast cel... \n", + "\n", + " cell_label_code_scheme \\\n", + "cell_id \n", + "122 [(37782003, SCT), (37782003, SCT), (37782003, ... \n", + "123 [(37782003, SCT), (37782003, SCT), (37782003, ... \n", + "126 [(LP65365-6, LN), (LP65365-6, LN), (LP65365-6,... \n", + "127 [(4717004, SCT), (4717004, SCT), (4717004, SCT... \n", + "244 [(23592000, SCT), (23592000, SCT), (23592000, ... \n", + "... ... \n", + "45986 [(56972008, SCT), (56972008, SCT), (56972008, ... \n", + "45987 [(15622002, SCT), (15622002, SCT), (15622002, ... \n", + "45998 [(56972008, SCT), (56972008, SCT), (56972008, ... \n", + "46016 [(56972008, SCT), (56972008, SCT), (56972008, ... \n", + "46059 [(312256009, SCT), (312256009, SCT), (31225600... \n", + "\n", + " reference_SOPInstanceUID \\\n", + "cell_id \n", + "122 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "123 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "126 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "127 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "244 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "... ... \n", + "45986 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "45987 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "45998 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "46016 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "46059 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "\n", + " cell_coordinates \n", + "cell_id \n", + "122 [[129922.0, 184948.0], [130048.0, 184948.0], [... \n", + "123 [[129795.0, 185188.0], [129905.0, 185188.0], [... \n", + "126 [[130005.0, 185200.0], [130100.0, 185200.0], [... \n", + "127 [[130081.0, 185114.0], [130275.0, 185114.0], [... \n", + "244 [[46899.0, 150502.0], [47212.0, 150502.0], [47... \n", + "... ... \n", + "45986 [[147595.0, 224437.0], [147700.0, 224437.0], [... \n", + "45987 [[147672.0, 224373.0], [147826.0, 224373.0], [... \n", + "45998 [[147526.0, 223369.0], [147627.0, 223369.0], [... \n", + "46016 [[64370.0, 174677.0], [64462.0, 174677.0], [64... \n", + "46059 [[64896.0, 176029.0], [65035.0, 176029.0], [65... \n", + "\n", + "[94 rows x 4 columns]" + ], "text/html": [ "\n", - "
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\n" + }, + "metadata": {} + } + ], "source": [ "# Flatten all label pairs for each uncertain cell\n", "label_pairs = []\n", @@ -11694,7 +11977,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "7xih3aG6PfHv" + }, "source": [ "## Support\n", "\n", @@ -11703,7 +11988,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "id": "NVL2aGH2PfHv" + }, "source": [ "## Acknowledgments\n", "\n", @@ -11718,7 +12005,8 @@ "metadata": { "colab": { "provenance": [], - "toc_visible": true + "toc_visible": true, + "include_colab_link": true }, "kernelspec": { "display_name": "Python 3", @@ -11730,4 +12018,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} +} \ No newline at end of file From 1a1eaf9c3c9e3c5c54463d67522b1de13de6ea14 Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 18:08:56 +0200 Subject: [PATCH 4/7] re-added Colab link (to ImagingDataCommons/IDC-Tutorials and updated the last time this notebook was updated --- .../bonemarrowwsi_pediatricleukemia.ipynb | 1563 ++++++++--------- 1 file changed, 778 insertions(+), 785 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index 85aa8e9..ed1c9cb 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -3,27 +3,20 @@ { "cell_type": "markdown", "metadata": { - "id": "view-in-github", - "colab_type": "text" + "colab_type": "text", + "id": "view-in-github" }, "source": [ - "\"Open" + "\"Open" ] }, - { - "cell_type": "markdown", - "metadata": { - "id": "k65LvkKePfHq" - }, - "source": [] - }, { "cell_type": "markdown", "metadata": { "id": "vBC86EhVsKql" }, "source": [ - "# Where cells come from: exploring bone marrow with the `BoneMarrowWSI-PediatricLeukemia` collection\n" + "# Where cells come from: exploring bone marrow with the `BoneMarrowWSI-PediatricLeukemia` collection" ] }, { @@ -47,7 +40,7 @@ "----------------------\n", "\n", "Initial version: Feb 2026 \n", - "Updated: Feb 2026" + "Updated: Aug 2026" ] }, { @@ -176,8 +169,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ " count(DISTINCT SeriesInstanceUID)\n", "0 245\n" @@ -217,76 +210,12 @@ }, "outputs": [ { - "output_type": "display_data", "data": { - "text/plain": [ - " SeriesInstanceUID \\\n", - "0 1.2.826.0.1.3680043.10.511.3.37359679370145206... \n", - "1 1.2.826.0.1.3680043.10.511.3.47683187632613075... \n", - "2 1.2.826.0.1.3680043.10.511.3.54230688249867685... \n", - "3 1.2.826.0.1.3680043.10.511.3.57198747066679907... \n", - "4 1.2.826.0.1.3680043.10.511.3.61823288590375903... \n", - "... ... \n", - "1022 1.2.826.0.1.3680043.10.511.3.40011930012345191... \n", - "1023 1.2.826.0.1.3680043.10.511.3.22154063527121340... \n", - "1024 1.2.826.0.1.3680043.10.511.3.20555882521627540... \n", - "1025 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\n" ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "variable_name": "ann_groups", - "summary": "{\n \"name\": \"ann_groups\",\n \"rows\": 51,\n \"fields\": [\n {\n \"column\": \"AnnotationGroupLabel\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 51,\n \"samples\": [\n \"technically_unfit\",\n \"eosinophilic_myelocyte\",\n \"neutrophilic_band\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AnnotationPropertyCategory_CodeMeaning\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"Anatomical structure\",\n \"Physical object\",\n \"Spatial and relational concepts\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AnnotationPropertyType_CodeMeaning\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 50,\n \"samples\": [\n \"Erythrocyte\",\n \"Eosinophilic myelocyte\",\n \"Eosinophils.band form\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"series_descriptions\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } - }, - "metadata": {} - } - ], - "source": [ - "query_ann_groups = '''\n", - "SELECT\n", - " ag.AnnotationGroupLabel, -- human-readable label of annotation group\n", - " ag.AnnotationPropertyCategory_CodeMeaning, -- Code meaning of coded value for the category of the annotation group\n", - " ag.AnnotationPropertyType_CodeMeaning, -- Code meaning of coded value for the type of the annotation group\n", - " ARRAY_AGG(DISTINCT i.SeriesDescription) AS series_descriptions\n", - "FROM ann_group_index ag\n", - "JOIN ann_index ai\n", - " ON ag.SeriesInstanceUID = ai.SeriesInstanceUID\n", - "JOIN index i\n", - " ON ag.SeriesInstanceUID = i.SeriesInstanceUID\n", - "WHERE\n", - " i.collection_id = 'bonemarrowwsi_pediatricleukemia'\n", - "GROUP BY\n", - " ag.AnnotationGroupLabel,\n", - " ag.AnnotationPropertyCategory_CodeMeaning,\n", - " ag.AnnotationPropertyType_CodeMeaning,\n", - "ORDER BY\n", - " LEN(series_descriptions)\n", - "'''\n", - "\n", - "ann_groups = idc_client.sql_query(query_ann_groups)\n", - "display(ann_groups)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bQAkkmOEMSu9" - }, - "source": [ - "Relating the annotated objects to the `SeriesDescription`, we can see, that\n", - "\n", - "- MBSA series \"Monolayer regions of interest for cell classification\" contain only annotations with `AnnotatedPropertyType` \"Selected region\" and the human-readable label \"region_of_interest\".\n", - "- \"Unlabeled cell bounding boxes\" contain only annotations with `AnnotatedPropertyType` \"Structure of haematological system\" and the human-readable label \"haematological_structure\"\n", - "- all other MBSA series contain various different `AnnotatedPropertyTypes` and human-readable labels.\n", - "\n", - "We will use this information below to filter for the monolayer ROIs and labeled vs. unlabeled cell annotations." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bd3j23XK7Ren" - }, - "source": [ - "## Viewing annotations\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "a_-BRDWSF7A2" - }, - "source": [ - "Annotations can be viewed and explored in detail on their respective slide using the Slim viewer. In the Slim viewer's interface at the bottom of the right sidebar you may select the MBSA series of interest to you from the drop-down menu, then click \"Annotation Groups\" and switch the slider(s) to display the content." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 941 - }, - "id": "AhO13xdLw3p-", - "outputId": "fa48ebd4-8bd1-4fe6-d6a2-16bb7c90abd2" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { "text/plain": [ - "" - ], - "text/html": [ + " AnnotationGroupLabel \\\n", + "0 region_of_interest \n", + "1 haematological_structure \n", + "2 no_consensus_found \n", + "3 macrophage \n", + "4 micromegakaryocyte \n", + "5 megakaryocyte \n", + "6 promegakaryocyte \n", + "7 pseudo_gaucher_cell \n", + "8 spicule \n", + "9 lymphoid_precursor_cell \n", + "10 basophilic_myelocyte \n", + "11 mitosis \n", + "12 prolymphocyte \n", + "13 plasma_cell \n", + "14 erythrocyte \n", + "15 lymphocytic_blast \n", + "16 neutrophilic_metamyelocyte \n", + "17 lymphocyte \n", + "18 lymphoidocyte \n", + "19 basophilic_metamyelocyte \n", + "20 polychromatic_erythroblast \n", + "21 myeloid_precursor_cell \n", + "22 basophilic_erythroblast \n", + "23 promonocyte \n", + "24 phagocytosis \n", + "25 degranulated_neutrophilic_myelocyte \n", + "26 segmented_basophil \n", + "27 smudge_cell \n", + "28 neutrophilic_myelocyte \n", + "29 segmented_neutrophil \n", + "30 basophilic_band \n", + "31 eosinophilic_band \n", + "32 eosinophilic_metamyelocyte \n", + "33 monocyte \n", + "34 artifact \n", + "35 monocytic_blast \n", + "36 unknown_blast \n", + "37 proerythroblast \n", + "38 neutrophil_extracellular_trap \n", + "39 degranulated_neutrophilic_metamyelocyte \n", + "40 eosinophilic_myelocyte \n", + "41 segmented_eosinophil \n", + "42 orthochromatic_erythroblast \n", + "43 technically_unfit \n", + "44 giant_platelet \n", + "45 damaged_cell \n", + "46 neutrophilic_band \n", + "47 thrombocyte_aggregate \n", + "48 promyelocyte \n", + "49 myelocytic_blast \n", + "50 thrombocyte \n", "\n", - " \n", - " " - ] - }, - "metadata": {}, - "execution_count": 7 - } - ], + " AnnotationPropertyCategory_CodeMeaning \\\n", + "0 Spatial and relational concepts \n", + "1 Anatomical structure \n", + "2 Anatomical structure \n", + "3 Anatomical structure \n", + "4 Anatomical structure \n", + "5 Anatomical structure \n", + "6 Anatomical structure \n", + "7 Anatomical structure \n", + "8 Anatomical structure \n", + "9 Anatomical structure \n", + "10 Anatomical structure \n", + "11 Anatomical structure \n", + "12 Anatomical structure \n", + "13 Anatomical structure \n", + "14 Anatomical structure \n", + "15 Anatomical structure \n", + "16 Anatomical structure \n", + "17 Anatomical structure \n", + "18 Anatomical structure \n", + "19 Anatomical structure \n", + "20 Anatomical structure \n", + "21 Anatomical structure \n", + "22 Anatomical structure \n", + "23 Anatomical structure \n", + "24 Anatomical structure \n", + "25 Anatomical structure \n", + "26 Anatomical structure \n", + "27 Morphologically abnormal structure \n", + "28 Anatomical structure \n", + "29 Anatomical structure \n", + "30 Anatomical structure \n", + "31 Anatomical structure \n", + "32 Anatomical structure \n", + "33 Anatomical structure \n", + "34 Physical object \n", + "35 Anatomical structure \n", + "36 Anatomical structure \n", + "37 Anatomical structure \n", + "38 Anatomical structure \n", + "39 Anatomical structure \n", + "40 Anatomical structure \n", + "41 Anatomical structure \n", + "42 Anatomical structure \n", + "43 Spatial and relational concepts \n", + "44 Morphologically abnormal structure \n", + "45 Morphologically abnormal structure \n", + "46 Anatomical structure \n", + "47 Anatomical structure \n", + "48 Anatomical structure \n", + "49 Anatomical structure \n", + "50 Anatomical structure \n", + "\n", + " AnnotationPropertyType_CodeMeaning \\\n", + "0 Selected region \n", + "1 Structure of haematological system \n", + "2 Structure of haematological system \n", + "3 Macrophage \n", + "4 Micromegakaryocyte \n", + "5 Megakaryocyte \n", + "6 Promegakaryocyte \n", + "7 Gaucher-like cell \n", + "8 Spicule \n", + "9 Lymphoid precursor cell \n", + "10 Basophilic myelocyte \n", + "11 Mitotic cell \n", + "12 Prolymphocyte \n", + "13 Plasma cell \n", + "14 Erythrocyte \n", + "15 Lymphoblast \n", + "16 Neutrophilic metamyelocyte \n", + "17 Lymphocyte \n", + "18 Reactive Lymphocyte \n", + "19 Basophilic metamyelocyte \n", + "20 Polychromatophilic erythroblast \n", + "21 Myeloid precursor cell \n", + "22 Basophilic erythroblast \n", + "23 Promonocyte \n", + "24 Phagocytosis \n", + "25 Hypogranular white blood cell \n", + "26 Basophil, segmented \n", + "27 Smudge cell \n", + "28 Neutrophilic myelocyte \n", + "29 Segmented neutrophil \n", + "30 Basophils.band form \n", + "31 Eosinophils.band form \n", + "32 Eosinophilic metamyelocyte \n", + "33 Monocyte \n", + "34 Artifact \n", + "35 Monoblast \n", + "36 Blast cell \n", + "37 Proerythroblast \n", + "38 Neutrophil Extracellular Trap \n", + "39 Neutrophil with Cytoplasmic Hypogranularity \n", + "40 Eosinophilic myelocyte \n", + "41 Eosinophil, segmented \n", + "42 Orthochromic erythroblast \n", + "43 Unusable - Quality renders image unusable \n", + "44 Giant platelet \n", + "45 Damage \n", + "46 Band neutrophil \n", + "47 Platelet aggregation \n", + "48 Promyelocyte \n", + "49 Myeloblast \n", + "50 Thrombocyte \n", + "\n", + " series_descriptions \n", + "0 [Monolayer regions of interest for cell classi... \n", + "1 [Unlabeled cell bounding boxes] \n", + "2 [Consensus: cell bounding boxes with cell type... \n", + "3 [Session 4: Cell bounding boxes with cell type... \n", + "4 [Session 1: Cell bounding boxes with cell type... \n", + "5 [Session 0: Cell bounding boxes with cell type... \n", + "6 [Consensus: cell bounding boxes with cell type... \n", + "7 [Session 2: Cell bounding boxes with cell type... \n", + "8 [Session 3: Cell bounding boxes with cell type... \n", + "9 [Session 0: Cell bounding boxes with cell type... \n", + "10 [Session 3: Cell bounding boxes with cell type... \n", + "11 [Session 1: Cell bounding boxes with cell type... \n", + "12 [Consensus: cell bounding boxes with cell type... \n", + "13 [Session 4: Cell bounding boxes with cell type... \n", + "14 [Session 2: Cell bounding boxes with cell type... \n", + "15 [Session 3: Cell bounding boxes with cell type... \n", + "16 [Session 4: Cell bounding boxes with cell type... \n", + "17 [Session 4: Cell bounding boxes with cell type... \n", + "18 [Session 3: Cell bounding boxes with cell type... \n", + "19 [Session 4: Cell bounding boxes with cell type... \n", + "20 [Session 2: Cell bounding boxes with cell type... \n", + "21 [Session 4: Cell bounding boxes with cell type... \n", + "22 [Session 3: Cell bounding boxes with cell type... \n", + "23 [Session 2: Cell bounding boxes with cell type... \n", + "24 [Session 3: Cell bounding boxes with cell type... \n", + "25 [Session 4: Cell bounding boxes with cell type... \n", + "26 [Session 4: Cell bounding boxes with cell type... \n", + "27 [Session 2: Cell bounding boxes with cell type... \n", + "28 [Session 4: Cell bounding boxes with cell type... \n", + "29 [Session 4: Cell bounding boxes with cell type... \n", + "30 [Session 3: Cell bounding boxes with cell type... \n", + "31 [Session 4: Cell bounding boxes with cell type... \n", + "32 [Session 4: Cell bounding boxes with cell type... \n", + "33 [Session 3: Cell bounding boxes with cell type... \n", + "34 [Session 2: Cell bounding boxes with cell type... \n", + "35 [Session 2: Cell bounding boxes with cell type... \n", + "36 [Session 3: Cell bounding boxes with cell type... \n", + "37 [Session 4: Cell bounding boxes with cell type... \n", + "38 [Session 4: Cell bounding boxes with cell type... \n", + "39 [Session 4: Cell bounding boxes with cell type... \n", + "40 [Session 3: Cell bounding boxes with cell type... \n", + "41 [Session 3: Cell bounding boxes with cell type... \n", + "42 [Session 0: Cell bounding boxes with cell type... \n", + "43 [Session 4: Cell bounding boxes with cell type... \n", + "44 [Session 5: Cell bounding boxes with cell type... \n", + "45 [Session 2: Cell bounding boxes with cell type... \n", + "46 [Session 4: Cell bounding boxes with cell type... \n", + "47 [Session 3: Cell bounding boxes with cell type... \n", + "48 [Session 5: Cell bounding boxes with cell type... \n", + "49 [Session 3: Cell bounding boxes with cell type... \n", + "50 [Session 4: Cell bounding boxes with cell type... " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "query_ann_groups = '''\n", + "SELECT\n", + " ag.AnnotationGroupLabel, -- human-readable label of annotation group\n", + " ag.AnnotationPropertyCategory_CodeMeaning, -- Code meaning of coded value for the category of the annotation group\n", + " ag.AnnotationPropertyType_CodeMeaning, -- Code meaning of coded value for the type of the annotation group\n", + " ARRAY_AGG(DISTINCT i.SeriesDescription) AS series_descriptions\n", + "FROM ann_group_index ag\n", + "JOIN ann_index ai\n", + " ON ag.SeriesInstanceUID = ai.SeriesInstanceUID\n", + "JOIN index i\n", + " ON ag.SeriesInstanceUID = i.SeriesInstanceUID\n", + "WHERE\n", + " i.collection_id = 'bonemarrowwsi_pediatricleukemia'\n", + "GROUP BY\n", + " ag.AnnotationGroupLabel,\n", + " ag.AnnotationPropertyCategory_CodeMeaning,\n", + " ag.AnnotationPropertyType_CodeMeaning,\n", + "ORDER BY\n", + " LEN(series_descriptions)\n", + "'''\n", + "\n", + "ann_groups = idc_client.sql_query(query_ann_groups)\n", + "display(ann_groups)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bQAkkmOEMSu9" + }, + "source": [ + "Relating the annotated objects to the `SeriesDescription`, we can see, that\n", + "\n", + "- MBSA series \"Monolayer regions of interest for cell classification\" contain only annotations with `AnnotatedPropertyType` \"Selected region\" and the human-readable label \"region_of_interest\".\n", + "- \"Unlabeled cell bounding boxes\" contain only annotations with `AnnotatedPropertyType` \"Structure of haematological system\" and the human-readable label \"haematological_structure\"\n", + "- all other MBSA series contain various different `AnnotatedPropertyTypes` and human-readable labels.\n", + "\n", + "We will use this information below to filter for the monolayer ROIs and labeled vs. unlabeled cell annotations." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bd3j23XK7Ren" + }, + "source": [ + "## Viewing annotations\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "a_-BRDWSF7A2" + }, + "source": [ + "Annotations can be viewed and explored in detail on their respective slide using the Slim viewer. In the Slim viewer's interface at the bottom of the right sidebar you may select the MBSA series of interest to you from the drop-down menu, then click \"Annotation Groups\" and switch the slider(s) to display the content." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 941 + }, + "id": "AhO13xdLw3p-", + "outputId": "fa48ebd4-8bd1-4fe6-d6a2-16bb7c90abd2" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "viewer_url = idc_client.get_viewer_URL(studyInstanceUID=annotations['StudyInstanceUID'][0], viewer_selector='slim')\n", "from IPython.display import IFrame\n", @@ -1485,8 +1478,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stderr", + "output_type": "stream", "text": [ "Downloading data: 100%|█████████▉| 17.3M/17.3M [00:04<00:00, 3.67MB/s]\n" ] @@ -1615,159 +1608,12 @@ }, "outputs": [ { - "output_type": "display_data", "data": { - "text/plain": [ - " SeriesInstanceUID roi_id \\\n", - "0 1.2.826.0.1.3680043.10.511.3.10215147797739213... 1064 \n", - "1 1.2.826.0.1.3680043.10.511.3.10215147797739213... 1065 \n", - "2 1.2.826.0.1.3680043.10.511.3.10218703177324118... 244 \n", - "3 1.2.826.0.1.3680043.10.511.3.10218703177324118... 245 \n", - "4 1.2.826.0.1.3680043.10.511.3.10661722053385503... 273 \n", - "5 1.2.826.0.1.3680043.10.511.3.10661722053385503... 274 \n", - "6 1.2.826.0.1.3680043.10.511.3.10701599624290715... 122 \n", - "7 1.2.826.0.1.3680043.10.511.3.10701599624290715... 123 \n", - "8 1.2.826.0.1.3680043.10.511.3.10701599624290715... 2256 \n", - "9 1.2.826.0.1.3680043.10.511.3.10937632455353085... 1042 \n", - "10 1.2.826.0.1.3680043.10.511.3.10937632455353085... 1043 \n", - "11 1.2.826.0.1.3680043.10.511.3.10937632455353085... 2089 \n", - "12 1.2.826.0.1.3680043.10.511.3.10937632455353085... 2090 \n", - "13 1.2.826.0.1.3680043.10.511.3.10952372623866668... 2204 \n", - 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"1 region_of_interest (111099, DCM) Selected region \n", - "2 region_of_interest (111099, DCM) Selected region \n", - "3 region_of_interest (111099, DCM) Selected region \n", - "4 region_of_interest (111099, DCM) Selected region \n", - "5 region_of_interest (111099, DCM) Selected region \n", - "6 region_of_interest (111099, DCM) Selected region \n", - "7 region_of_interest (111099, DCM) Selected region \n", - "8 region_of_interest (111099, DCM) Selected region \n", - "9 region_of_interest (111099, DCM) Selected region \n", - "10 region_of_interest (111099, DCM) Selected region \n", - "11 region_of_interest (111099, DCM) Selected region \n", - "12 region_of_interest (111099, DCM) Selected region \n", - "13 region_of_interest (111099, DCM) Selected region \n", - "14 region_of_interest (111099, DCM) Selected region \n", - "15 region_of_interest (111099, DCM) Selected region \n", - "16 region_of_interest (111099, DCM) Selected region \n", - "17 region_of_interest (111099, DCM) Selected region \n", - "18 region_of_interest (111099, DCM) Selected region \n", - "19 region_of_interest (111099, DCM) Selected region \n", - "20 region_of_interest (111099, DCM) Selected region \n", - "21 region_of_interest (111099, DCM) Selected region \n", - "22 region_of_interest (111099, DCM) Selected region \n", - "23 region_of_interest (111099, DCM) Selected region \n", - "24 region_of_interest (111099, DCM) Selected region \n", - "25 region_of_interest (111099, DCM) Selected region \n", - "26 region_of_interest (111099, DCM) Selected region \n", - "27 region_of_interest (111099, DCM) Selected region \n", - "\n", - " roi_coordinates \\\n", - "0 [[119219.0, 202397.0], [121267.0, 202397.0], [... \n", - "1 [[59856.0, 221807.0], [61904.0, 221807.0], [61... \n", - "2 [[73979.0, 122200.0], [76027.0, 122200.0], [76... \n", - "3 [[29695.0, 101538.0], [31743.0, 101538.0], [31... \n", - "4 [[22868.0, 49258.0], [24916.0, 49258.0], [2491... \n", - "5 [[93239.0, 54154.0], [95287.0, 54154.0], [9528... \n", - "6 [[81582.0, 142669.0], [83630.0, 142669.0], [83... \n", - 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" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -2349,121 +2342,44 @@ " rows.append({\n", " 'SeriesInstanceUID': ann.SeriesInstanceUID,\n", " 'annotation_session': get_annotation_session(ann),\n", - " 'cell_id': int(m[0]),\n", - " 'roi_id': int(m[1]) if m.size > 1 else None, # allow empty roi_id,\n", - " 'cell_human_label': ann_group.label,\n", - " 'cell_label': ann_group.annotated_property_type.meaning,\n", - " 'cell_label_code_scheme': (ann_group.annotated_property_type.value, ann_group.annotated_property_type.scheme_designator),\n", - " 'cell_coordinates': c,\n", - " 'reference_SeriesInstanceUID': ann.ReferencedSeriesSequence[0].SeriesInstanceUID,\n", - " 'reference_SOPInstanceUID': ann.ReferencedImageSequence[0].ReferencedSOPInstanceUID\n", - " })\n", - " cells = pd.DataFrame(rows)\n", - " return cells\n", - "\n", - "\n", - "def get_annotation_session(ann: hd.ann.sop.MicroscopyBulkSimpleAnnotations) -> str:\n", - " if 'unlabeled' in ann.SeriesDescription.lower():\n", - " return 'n/a'\n", - " return ann.SeriesDescription.split(':')[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 964 - }, - "id": "rWNAouye6DbO", - "outputId": "dd08efab-688e-4c4f-d433-844a61c177bd" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - " SeriesInstanceUID annotation_session \\\n", - "0 1.2.826.0.1.3680043.10.511.3.10011410777543194... n/a \n", - "1 1.2.826.0.1.3680043.10.511.3.10011410777543194... n/a \n", - "2 1.2.826.0.1.3680043.10.511.3.10011410777543194... n/a \n", - "3 1.2.826.0.1.3680043.10.511.3.10011410777543194... n/a \n", - "4 1.2.826.0.1.3680043.10.511.3.10011410777543194... n/a \n", - "... ... ... \n", - "1889 1.2.826.0.1.3680043.10.511.3.17488337563150304... n/a \n", - "1890 1.2.826.0.1.3680043.10.511.3.17488337563150304... n/a \n", - "1891 1.2.826.0.1.3680043.10.511.3.17488337563150304... n/a \n", - "1892 1.2.826.0.1.3680043.10.511.3.17488337563150304... n/a \n", - "1893 1.2.826.0.1.3680043.10.511.3.17488337563150304... n/a \n", - "\n", - " cell_id roi_id cell_human_label \\\n", - "0 111523 1142 haematological_structure \n", - "1 111524 1142 haematological_structure \n", - "2 111525 1142 haematological_structure \n", - "3 111526 1142 haematological_structure \n", - "4 111527 1142 haematological_structure \n", - "... ... ... ... \n", - "1889 108175 1109 haematological_structure \n", - "1890 108176 1108 haematological_structure \n", - "1891 108177 1108 haematological_structure \n", - "1892 108178 1108 haematological_structure \n", - "1893 108179 1108 haematological_structure \n", - "\n", - " cell_label cell_label_code_scheme \\\n", - "0 Structure of haematological system (414387006, SCT) \n", - "1 Structure of haematological system (414387006, SCT) \n", - "2 Structure of haematological system (414387006, SCT) \n", - "3 Structure of haematological system (414387006, SCT) \n", - "4 Structure of haematological system (414387006, SCT) \n", - "... ... ... \n", - "1889 Structure of haematological system (414387006, SCT) \n", - "1890 Structure of haematological system (414387006, SCT) \n", - "1891 Structure of haematological system (414387006, SCT) \n", - "1892 Structure of haematological system (414387006, SCT) \n", - "1893 Structure of haematological system (414387006, SCT) \n", - "\n", - " cell_coordinates \\\n", - "0 [[24695.0, 157764.0], [24836.0, 157764.0], [24... \n", - "1 [[24766.0, 157869.0], [24867.0, 157869.0], [24... \n", - "2 [[24791.0, 158061.0], [24901.0, 158061.0], [24... \n", - "3 [[24776.0, 158206.0], [24899.0, 158206.0], [24... \n", - "4 [[24927.0, 158227.0], [25025.0, 158227.0], [25... \n", - "... ... \n", - "1889 [[85407.0, 317717.0], [85493.0, 317717.0], [85... \n", - "1890 [[116277.0, 405339.0], [116617.0, 405339.0], [... \n", - "1891 [[116419.0, 404781.0], [116581.0, 404781.0], [... \n", - "1892 [[116395.0, 404919.0], [116502.0, 404919.0], [... \n", - "1893 [[114854.0, 405064.0], [115186.0, 405064.0], [... \n", - "\n", - " reference_SeriesInstanceUID \\\n", - "0 1.2.826.0.1.3680043.8.498.90020006626384854604... \n", - "1 1.2.826.0.1.3680043.8.498.90020006626384854604... \n", - "2 1.2.826.0.1.3680043.8.498.90020006626384854604... \n", - "3 1.2.826.0.1.3680043.8.498.90020006626384854604... \n", - "4 1.2.826.0.1.3680043.8.498.90020006626384854604... \n", - "... ... \n", - "1889 1.2.826.0.1.3680043.8.498.77098745066019483770... \n", - "1890 1.2.826.0.1.3680043.8.498.77098745066019483770... \n", - "1891 1.2.826.0.1.3680043.8.498.77098745066019483770... \n", - "1892 1.2.826.0.1.3680043.8.498.77098745066019483770... \n", - "1893 1.2.826.0.1.3680043.8.498.77098745066019483770... \n", - "\n", - " reference_SOPInstanceUID \n", - "0 1.2.826.0.1.3680043.8.498.82484698023439443119... \n", - "1 1.2.826.0.1.3680043.8.498.82484698023439443119... \n", - "2 1.2.826.0.1.3680043.8.498.82484698023439443119... \n", - "3 1.2.826.0.1.3680043.8.498.82484698023439443119... \n", - "4 1.2.826.0.1.3680043.8.498.82484698023439443119... \n", - "... ... \n", - "1889 1.2.826.0.1.3680043.8.498.68169569434041015588... \n", - "1890 1.2.826.0.1.3680043.8.498.68169569434041015588... \n", - "1891 1.2.826.0.1.3680043.8.498.68169569434041015588... \n", - "1892 1.2.826.0.1.3680043.8.498.68169569434041015588... \n", - "1893 1.2.826.0.1.3680043.8.498.68169569434041015588... \n", - "\n", - "[1894 rows x 10 columns]" - ], + " 'cell_id': int(m[0]),\n", + " 'roi_id': int(m[1]) if m.size > 1 else None, # allow empty roi_id,\n", + " 'cell_human_label': ann_group.label,\n", + " 'cell_label': ann_group.annotated_property_type.meaning,\n", + " 'cell_label_code_scheme': (ann_group.annotated_property_type.value, ann_group.annotated_property_type.scheme_designator),\n", + " 'cell_coordinates': c,\n", + " 'reference_SeriesInstanceUID': ann.ReferencedSeriesSequence[0].SeriesInstanceUID,\n", + " 'reference_SOPInstanceUID': ann.ReferencedImageSequence[0].ReferencedSOPInstanceUID\n", + " })\n", + " cells = pd.DataFrame(rows)\n", + " return cells\n", + "\n", + "\n", + "def get_annotation_session(ann: hd.ann.sop.MicroscopyBulkSimpleAnnotations) -> str:\n", + " if 'unlabeled' in ann.SeriesDescription.lower():\n", + " return 'n/a'\n", + " return ann.SeriesDescription.split(':')[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 964 + }, + "id": "rWNAouye6DbO", + "outputId": "dd08efab-688e-4c4f-d433-844a61c177bd" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"unlabeled_cells\",\n \"rows\": 1894,\n \"fields\": [\n {\n \"column\": \"SeriesInstanceUID\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"1.2.826.0.1.3680043.10.511.3.17432783302054048515631579093959893\",\n \"1.2.826.0.1.3680043.10.511.3.1076299179658034790941145410361948\",\n \"1.2.826.0.1.3680043.10.511.3.14756294754805884342393024058949414\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"annotation_session\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"n/a\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3788,\n \"min\": 101401,\n \"max\": 115674,\n \"num_unique_values\": 1894,\n \"samples\": [\n 110925\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"roi_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 41,\n \"min\": 1018,\n \"max\": 1185,\n \"num_unique_values\": 20,\n \"samples\": [\n 1142\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_human_label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"haematological_structure\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"Structure of haematological system\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_label_code_scheme\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n [\n \"414387006\",\n \"SCT\"\n ]\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"cell_coordinates\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"reference_SeriesInstanceUID\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"1.2.826.0.1.3680043.8.498.66540951774850412589832467396180270846\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"reference_SOPInstanceUID\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"1.2.826.0.1.3680043.8.498.22002897155964141122615889923042332698\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "unlabeled_cells" + }, "text/html": [ "\n", "
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1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "127 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "244 1.2.826.0.1.3680043.8.498.93422388789094217588... \n", + "... ... \n", + "45986 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "45987 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "45998 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "46016 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "46059 1.2.826.0.1.3680043.8.498.47197839070889347663... \n", + "\n", + " cell_coordinates \n", + "cell_id \n", + "122 [[129922.0, 184948.0], [130048.0, 184948.0], [... \n", + "123 [[129795.0, 185188.0], [129905.0, 185188.0], [... \n", + "126 [[130005.0, 185200.0], [130100.0, 185200.0], [... \n", + "127 [[130081.0, 185114.0], [130275.0, 185114.0], [... \n", + "244 [[46899.0, 150502.0], [47212.0, 150502.0], [47... \n", + "... ... \n", + "45986 [[147595.0, 224437.0], [147700.0, 224437.0], [... \n", + "45987 [[147672.0, 224373.0], [147826.0, 224373.0], [... \n", + "45998 [[147526.0, 223369.0], [147627.0, 223369.0], [... \n", + "46016 [[64370.0, 174677.0], [64462.0, 174677.0], [64... \n", + "46059 [[64896.0, 176029.0], [65035.0, 176029.0], [65... \n", + "\n", + "[94 rows x 4 columns]" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -11912,23 +11905,23 @@ "cell_type": "code", "execution_count": 15, "metadata": { - "id": "rOMMkzMlPfHv", - "outputId": "76a132ed-2ce6-403d-e6cc-6e9c7d1e77bf", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 - } + }, + "id": "rOMMkzMlPfHv", + "outputId": "76a132ed-2ce6-403d-e6cc-6e9c7d1e77bf" }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -12004,9 +11997,9 @@ ], "metadata": { "colab": { + "include_colab_link": true, "provenance": [], - "toc_visible": true, - "include_colab_link": true + "toc_visible": true }, "kernelspec": { "display_name": "Python 3", @@ -12018,4 +12011,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} From 896da8d68c9733c5f93e2eaddc365aecf25bbfb5 Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 19:28:12 +0200 Subject: [PATCH 5/7] small formatting changes --- .../bonemarrowwsi_pediatricleukemia.ipynb | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index ed1c9cb..d319523 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -25,17 +25,17 @@ "id": "awN_BlsYPfHr" }, "source": [ - "This tutorial is shared as part of the tutorials prepared by the Imaging Data Commons team and available at https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks.\n", + "This tutorial is shared as part of the tutorials prepared by the Imaging Data Commons (IDC) team and available at https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks.\n", "\n", "If you are new to IDC and DICOM for digital pathology applications, you may want to check out other introductory tutorials on this topic available here: https://github.com/ImagingDataCommons/IDC-Tutorials/tree/master/notebooks/pathomics.\n", "\n", - "This tutorial is aimed for the users of Imaging Data Commons that are interested in **bone marrow smear analysis**. You will learn how to:\n", + "This tutorial is aimed at users of the IDC that are interested in **bone marrow smear analysis**. You will learn how to:\n", "* select and access images and image-derived data (in this case, manual expert annotations) of the comprehensive bone marrow collection `BoneMarrowWSI-PediatricLeukemia`\n", - "* parse and understand the available content stored in DICOM Bulk Simple Annotations (MBSA/ANN) format\n", + "* parse and understand the available content stored in DICOM Bulk Simple Annotations (MBSA/ANN) files\n", "\n", "To learn more about the IDC, please visit the [IDC user guide](https://learn.canceridc.dev).\n", "\n", - "If you have any questions, bug reports, or feature requests please feel free to contact us at the [IDC discussion forum](https://discourse.canceridc.dev)!\n", + "If you have any questions, bug reports, or feature requests, please feel free to contact us at the [IDC discussion forum](https://discourse.canceridc.dev)!\n", "\n", "----------------------\n", "\n", @@ -77,7 +77,7 @@ "source": [ "## Prerequisites\n", "**Installations**\n", - "* **Install highdicom:** [highdicom](https://highdicom.readthedocs.io/en/latest/introduction.html) was specifically designed to work with DICOM objects holding image-derived information, e.g. annotations and segmentations. Detailed information on highdicom's functionality can be found in its [user guide](https://highdicom.readthedocs.io/en/latest/usage.html).\n", + "* **Install highdicom:** [highdicom](https://highdicom.readthedocs.io/en/latest/introduction.html) was specifically designed to work with DICOM objects holding image-derived information, e.g. annotations and segmentations. Detailed information on `highdicom`'s functionality can be found in its [user guide](https://highdicom.readthedocs.io/en/latest/usage.html).\n", "* **Install wsidicom:** The [wsidicom](https://pypi.org/project/wsidicom/) Python package provides functionality to open and extract image or metadata from WSIs.\n", "* **Install idc-index:** The Python package [idc-index](https://pypi.org/project/idc-index/) facilitates queries of the basic metadata and download of DICOM files hosted by the IDC." ] @@ -575,7 +575,7 @@ "id": "kBWUmv6qHZ48" }, "source": [ - "We can see, that for each slide (i.e. **referencedSeriesInstanceUID**) there are multiple MBSA series. All have an **AnnotationCoordinateType** of \"2D\", meaning that the coordinates are two-dimensional coordinates in the image-relative coordinate system (more information [here](https://highdicom.readthedocs.io/en/latest/package.html#highdicom.ann.AnnotationCoordinateTypeValues)). Looking at the **SeriesDescription**, we can assert what is described in the [Background](#Background) section of this notebook.\n", + "We can see, that for each slide (i.e. `referencedSeriesInstanceUID`) there are multiple MBSA series. All have an `AnnotationCoordinateType` of \"2D\", meaning that the coordinates are two-dimensional coordinates in the image-relative coordinate system (more information [here](https://highdicom.readthedocs.io/en/latest/package.html#highdicom.ann.AnnotationCoordinateTypeValues)). Looking at the `SeriesDescription`, we can assert what is described in the [Background](#Background) section of this notebook.\n", "\n", "* Each slide has \"Monolayer regions of interest for cell classification\" annotations.\n", "* For some slides, there is one MBSA series with \"Unlabeled cell bounding boxes\", while for others, there are multiple MBSA series containing \"Cell bounding boxes with cell type labels\" for different annotation sessions and the consensus labels.\n", @@ -1529,7 +1529,7 @@ "- **'roi_label_code_scheme'**: Tuple of code of the ROI label and designator of the coding scheme used, e.g. (111099, DCM) which is code 111099 from the DICOM controlled terminology\n", "- **'roi_label'**: Code meaning of the ROI label\n", "- **'roi_coordinates'**: the 2D coordinates in the image-relative coordinate system of the referenced slide level\n", - "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from `ann_index` or read from the MBSA file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here.\n" + "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the `SeriesInstanceUID` and `SOPInstanceUID` of the slide level the annotations refer to. 'reference_SeriesInstanceUID' can either be obtained from `ann_index` or read from the MBSA file directly - for consistency with 'reference_SOPInstanceUID' the later approach was chosen here.\n" ] }, { @@ -2274,7 +2274,7 @@ "- **'cell_label_code_scheme'**: Tuple of code of the cell label and designator of the coding scheme used, e.g. (414387006, SCT) which is code 414387006 from SNOMED-CT\n", "- **'cell_label'**: Code meaning of the cell label defined in cell_label_code_scheme e.g. 'Structure of haematological system'. Have a look at the [SNOMED Browser](https://browser.ihtsdotools.org/?perspective=full&conceptId1=414387006&edition=MAIN&release=&languages=en) for this example.\n", "- **'cell_coordinates'**: the 2D coordinates in the image coordinate system of the referenced slide level\n", - "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the SeriesInstanceUID and SOPInstanceUID of the slide level the annotations refer to. reference_SeriesInstanceUID can either be obtained from ann_index or read from the MBSA file directly - for consistency with reference_SOPInstanceUID the later approach was chosen here." + "- **'reference_SeriesInstanceUID'** and **'reference_SOPInstanceUID'**: the `SeriesInstanceUID` and `SOPInstanceUID` of the slide level the annotations refer to. 'reference_SeriesInstanceUID' can either be obtained from `ann_index` or read from the MBSA file directly - for consistency with 'reference_SOPInstanceUID' the later approach was chosen here." ] }, { From 9adfda89be95b3a6b4674453fbf4ff4876623826 Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 19:29:27 +0200 Subject: [PATCH 6/7] spelling mistake --- .../collections_demos/bonemarrowwsi_pediatricleukemia.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index d319523..1a5d010 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -580,7 +580,7 @@ "* Each slide has \"Monolayer regions of interest for cell classification\" annotations.\n", "* For some slides, there is one MBSA series with \"Unlabeled cell bounding boxes\", while for others, there are multiple MBSA series containing \"Cell bounding boxes with cell type labels\" for different annotation sessions and the consensus labels.\n", "\n", - "MBSA files contain one or multiple **\"AnnotationGroups\"** (for more explanation see the aforementioned [tutorial notebook]((https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)) on DICOM MBSAs).\n", + "MBSA files contain one or multiple **\"Annotation Groups\"** (for more explanation see the aforementioned [tutorial notebook]((https://github.com/ImagingDataCommons/IDC-Tutorials/blob/master/notebooks/pathomics/microscopy_dicom_ann_intro.ipynb)) on DICOM MBSAs).\n", "Using `ann_group_index` we can get a little more information on what the individual annotation groups contain exactly. The following code cell queries the `AnnotationGroupLabel` - a human-readable label for the annotation group - as well as [coded values from controlled vocabularies](https://learn.canceridc.dev/dicom/coding-schemes) such as SNOMED-CT for the category and type of the annotation.\n" ] }, From 4aa2a5672e942841d9f4787c3ecbf83248b0c10e Mon Sep 17 00:00:00 2001 From: dschacherer Date: Sat, 29 Aug 2026 19:37:50 +0200 Subject: [PATCH 7/7] formatting change --- .../collections_demos/bonemarrowwsi_pediatricleukemia.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb index 1a5d010..1188782 100644 --- a/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb +++ b/notebooks/collections_demos/bonemarrowwsi_pediatricleukemia.ipynb @@ -132,7 +132,7 @@ }, "source": [ "## Finding the `BoneMarrowWSI-PediatricLeukemia` dataset on IDC\n", - "To locate and download slides and available annotations, we use the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM MBSA/ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in idc-index and what information you can query from them." + "To locate and download slides and available annotations, we use the Python package [idc-index](https://github.com/ImagingDataCommons/idc-index) and fetch `ann_index` and `ann_group_index`, specific to DICOM MBSA/ANN objects. Have a look [here](https://idc-index.readthedocs.io/en/latest/indices_reference.html) for details on all available indices in `idc-index` and what information you can query from them." ] }, { @@ -194,7 +194,7 @@ "id": "1-ZR8MkhFqKX" }, "source": [ - "Let's have a look at the available MBSA files. The following query collects series-level information from the `ann_index` of idc-index, joined with the common index table on `SeriesInstanceUID`." + "Let's have a look at the available MBSA files. The following query collects series-level information from the `ann_index` of `idc-index`, joined with the common index table on `SeriesInstanceUID`." ] }, {