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Pulmo

Segment nuclei and lung metastructures (total tissue, bronchioles, vessels, alveoli), detect cellular phenotypes within each component, and measure up to 20 morphometric parameters per metastructure and nucleus.

metastructures

single-cell analysis

immunophenotyping

lung cancer, lung anatomy, bronchioles, blood vessels, alveoles, immunohistochemistry, neutrophiles, brightfield

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The Pulmo App segments nuclei as well as the metastructure components of lung, including total tissue, bronchioles, blood vessels and alveoles. Further it detects cellular phenotypes within the metastructure components. Each segmented metastructure/nuclei is measured for up to 20 morphometric parameters.

immunophenotyping

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Webinar

20 Jan, 2026

Decoding Metastatic Potential in Colorectal Cancer Using Tissue Cytometry

single-cell analysis

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White Paper

30 Mar, 2026

Understanding NeuroCOVID-19: SARS-CoV-2 Disrupts Astrocyte Homeostatic Functions

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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Segment murine lung sections into tumor and non-cancerous tissue using a machine learning classifier, detect hematoxylin-stained nuclei, and quantify tumor area and marker-positive cellular phenotypes.

metastructures

single-cell analysis

tumor microenvironment

immunohistochemistry, lung cancer, tumor microenvironment, mouse, lung

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IHC Angio

Detect blood vessels based on appropriate stains (e.g. CD31), measure vessel and lumen areas, and export vessel number, density, and areas of vessels, endothelium, and lumina.

metastructures

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blood vessels, tumor vascularization, tumor microenvironment, brightfield

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RNA Scope

Detect nuclei and single-marker dots (CISH/SISH), segment nucleus and/or cytoplasm, measure up to 20 intensity, statistic, and morphometric parameters, and quantify dot count, mean intensity, total area, intensity sum, and per-dot area/intensity per cell.

intracellular analysis

single-cell analysis

dot detection

RNAScope, brightfield, CISH, ISH

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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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