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IF Cellular microenvironment

Determine phenotypes of specific IF-stained cell populations, analyze spatial relationships to neighboring cells and metastructures (e.g. vessels, tumors), and perform proximity and infiltration analyses.

phenotyping, phenotype interactions, proximity map, spatial landscape, immune cells, tumor, colon cancer, TMA, Foxp3, CD4, CK, PD-1, T regulatory cells, fluorescence

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The IF Cellular Microenviroment App allows to determine the cellular phenotype of specific IF stained cell populations and establishes their spatial relationship between each other, their neighbour cells/cell populations as well as the one with metastructures (e.g. blood vessels, tumors) in their vicinity. It is especially suited for proximity and infiltration analyses.

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Original image

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Epithelium detection

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Phenotype detection

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White Paper

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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
Taborstraße 10/2/8
1020 Vienna, Austria
+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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