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IHC Angio Trichome

Detect trichome-stained vessels, quantify vessel, lumen, and endothelium areas, measure wall thickness and density, and analyze spatial proximity of IHC-stained cells to vessels.

trichome staining, blood vessels, collagen, muscle fibres, spatial interactions

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The IHC Angio Trichome App detects blood vessels based on trichome staining and measures overall vessel area as well as lumen area. Furhtermore it detects specifically IHC stained single cell populations and establishes their spatial relationship between to the detected blood vessels. The APP outputs number and vessel density, vessel wall thickness as well as areas of vessels, endothelium and lumina, number of IHC stained cells, proximity measurement etc.

Sandra Ashton, City St George's, University of London, UK

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Original Image

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Vessel detection

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Marker positive cell detection

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Combined detection

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Application Note

01 Jun, 2023

Evaluating the Distance of Tumor Cells from Blood Vessels

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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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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 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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