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IHC Megakaryocytes

Detect megakaryocytes in IHC-stained sections, reconstruct full cell area, and quantify cell size, number of megakaryocytes containing neutrophils, and neutrophil count per megakaryocyte.

bone tissue, bone marrow, megakaryocytes, immunohistochemistry

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The IHC Megakaryocytes App allows for detection of megakaryocytes based on specific marker staining. It outputs number and size of detected megakaryocytes as well as the number of megakaryocytes that contain neutrophils inside their cytoplasm and the number of neutrophils inside each megakaryocyte.

Prof Wendy Erber and A/Prof Kathy Fuller, The University of Western Australia

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Original Image

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Nuclei detection

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Megakaryocyte identification

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White Paper

17 Jul, 2024

Algorithmic automation of bone research with StrataQuest

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White Paper

17 Oct, 2025

Integrative Multiomics Approach Unveils Systemic Dysfunction in Colorectal Cancer (CRC)

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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