IF Insulin Islet
Detect insulin islets and whole tissue in IF samples, segment nuclei using deep learning, and quantify islet number, area, total cells, and marker-specific phenotypes in tissue and within islets.
insulin islets, pancreas, beta-cells
The IF Insulin Islet App allows for detection marker stained insulin islets, the whole tissue, and cellular phenotypes stained by specific markers within the insulin islets. The App outputs, whole tissue area (µm2), number and area (µm2) of detected insulin islets. Number of cells and marker-specific phenotypes in the whole tissue as well as within the insulin islets.
Emma Hamilton-Williams, The University of Queensland, Australia
Webinar
21 Oct, 2025
Multimodal Imaging of Cellular Senescence: Tissue Cytometry and Beyond
White Paper
17 Oct, 2025
Integrative Multiomics Approach Unveils Systemic Dysfunction in Colorectal Cancer (CRC)
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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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.
