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IF Spheroids

Detect spheroids and nuclei-based cells, segment cellular compartments, quantify multiple IF markers and dot signals, and analyze spatial proximity of cell populations within spheroids.

single-cell analysis

dot detection

spheroid, membrane, 2D and 3D culture, Human colon cancer cell lines

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The IF Spheroids App allows a comprehensive analysis of spheroids (as wells organoids and embryoid bodies). It automatically identifies the spheroids and the cells based on the nuclei staining. It analyzes 2 additional IF markers. It segments the cells into different cellular compartments including membrane, nuclei and cytosol and further measures the marker expression for each compartment. It also can measure dot markers (if available). It established proximity distances for the cells detected within the sperhoids and thereby brings the IF stained cell populations into their spatial relationships.

Riedl A, Schlederer M, Pudelko K, et al. Comparison of cancer cells in 2D vs 3D culture reveals differences in AKT-mTOR-S6K signaling and drug responses. J Cell Sci. 2017;130(1):203-218. doi:10.1242/jcs.188102

Image courtesy of Michaela Schlederer, Medical University of Vienna, Austria

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Spheroid/Organoid detection

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Nuclei detection

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Dot detection

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Nuclei/cytoplasm/membrane detection

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Proximity measurement

dot detection

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Blog Post

15 Feb, 2023

Applications of AI in Cell Segmentation

single-cell analysis

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White Paper

30 Mar, 2026

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

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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IF Embryoid Bodies

Detect embryoid bodies/organoids in IF-stained samples, segment nuclei, identify cellular phenotypes in nuclei or membrane, and quantify organoid number, area, and phenotype distribution.

single-cell analysis

cell culture

organoid detection

embryoid bodies, cell culture

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IF Membrane

Detect nuclei, segment cells into membrane, cytoplasm, and nuclei, and quantify marker intensity, stained area, membrane length, angle, and percentage of positive cells per compartment.

intracellular analysis

single-cell analysis

cell culture

spheroid, membrane

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Organiod App

Detect cultured organoids using a machine learning classifier, quantify organoid number and total area (µm²), and classify organoids into defined size categories.

cell culture

organoid detection

organoid quantification, immune cells, co-culture, machine learning

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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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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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