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Published November 1, 2020 | Version version1 september 2020
Dataset Open

Complex image segmentation (3D) for SAPHIR

  • 1. CNRS

Description

See the README.txt file for details of files and the video associated in youtube live for the explanation of how to use the macro.

This dataset is composed from the original image (19juil05a1.czi) of a peyer patch in intestine with 6 channels (CD3-eF450=Lympocyte T, Sytox Blue=nucleus,GFP+AF488=phagocyte, CD69+aGt-AF546=not used here, B220+AF594=Lymphocyte B, Ki67-eF660=proliferative nucelus used for the segmentation). The program with segment in 3D the proliferative cells (morpholibJ), the central plane for each nucleus will be used to create a ring and calculate the mean intensity in the channel LT and LB). These data will be saved in the Intensity_Normalized file).

See the poster (histo_cytometry.pdf) for details.

Theses results  will serve for SAPHIR application for histo-cytometry.

Files

19juil05a1_BAND.tif

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