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Wilms Tumor

AI-based segmentation of H&E-stained Wilms tumor sections into tumor, stroma, and blood vessels with quantitative area measurements.

metastructures

tumor microenvironment

vascularization

H&E

wilms tumor, H&E, nephroblastoma, kidney, renal cancer

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The Wilms Tumor App is based on the AI Classifier and allows the segmentation of H&E stained Willms tumor tissues into tumor, stroma, blood vessels. It outputs the area (µm2) of the segmented tissue entities.

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Original Image

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Vessel detection

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Stroma detection

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Tumor detection

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Tumor/Stroma/Vessel detection

H&E

vascularization

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Application Note

01 Jun, 2023

Evaluating the Distance of Tumor Cells from Blood Vessels

tumor microenvironment

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Webinar

20 Jan, 2026

Decoding Metastatic Potential in Colorectal Cancer Using Tissue Cytometry

metastructures

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Blog Post

17 May, 2023

An Intro to Deep Learning in Biomedical Imaging

We support the following file formats:

  • TissueFAXS (aqproj)
  • StrataFAXS II (vmic)
  • PreciPoint (vmic, gtif)
  • Generic BigTIFF Import
  • Support for multipage BigTIFF files
  • OME-TIFF
  • JPEG, PNG, BMP, TIFF
  • Zeiss (czi)

  • Hamamatsu NanoZoomer (ndpi)
  • Aperio (svs)
  • Leica (scn)
  • 3D HISTECH Pannoramic
  • Mirax (mrxs)
  • Olympus (vsi)
  • More slide scanners to be added!

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Custom App development

Perfectly tailored image analysis solutions for your research.

You have a specific research question that needs to be answered? We offer custom development of image analysis pipelines for specific tasks, be it detection of cellular phenotypes or quantification of tissue structures. After discussing your goals with one of our experts, you will get a ready-to-use App and be a step closer to an impactful publication.

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TissueGnostics GmbH
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+43 1 216 11 90
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About Us

TissueGnostics provides advanced solutions for whole-slide imaging and image analysis in biological and clinical research. Our products help researchers to scan and analyze complex tissue samples, enabling more detailed insights into tissue structure, cellular interactions, and spatial cell landscape.

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