IF Tumor Foci Angio
Detect single nuclei and segment tissue into tumor foci and blood vessels, apply proximity mapping to quantify nuclei distances to vessels, and measure compartment areas and nuclei distribution.
tumor, tumor microenvironment, blood vessels, tumor foci, spatial analysis
The IF Tumor Foci Angio App is able to identify single cells as well as to segment tissues into tumor foci and blood vessels based on appropriate markers. It applies proximity maps to identify nuclei close to blood vessels. It measures the number of nuclei that are at a certain distance relative to blood vessels, the number of nuclei in the different morphological entities and the area of the morphological entities.
Original Image
Nuclei detection
Tumor foci detection
Vessel detection
Blood vessels distance
Vessel proximities
Application Note
01 Jun, 2023
Evaluating the Distance of Tumor Cells from Blood Vessels
White Paper
17 Oct, 2025
Integrative Multiomics Approach Unveils Systemic Dysfunction in Colorectal Cancer (CRC)
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.
