
IF Immune status in situ
Characterize immune cell phenotypes relative to detected metastructures (e.g. tumors, glands), define distance ranges, measure cell-to-boundary distances inside/outside, and export up to 20 intensity, statistic, and morphometric parameters per cell compartment.
colon cancer, cytotoxic t cells, tumor microenvironment, PD1, CD8, spatial analysis, fluorescence

The IF Immune Status in Situ App provides phenotypic characterization of immune cells in reference to detected metastructures (e.g. tumors, glands) and measures the distance of detected cellular objects to the metastructure boundary (within and/or outside). Distance ranges can be defined. Each segmented cell compartment is measured for up to 20 intensity, statistic and morphometric parameters, as is the distance of each cell to the areas boundary.

Original image

Nuclei detection

Tumor detection

Proximity measurements: 25-50µm

Webinar
20 Jan, 2026
Decoding Metastatic Potential in Colorectal Cancer Using Tissue Cytometry

White Paper
17 Oct, 2025
Integrative Multiomics Approach Unveils Systemic Dysfunction in Colorectal Cancer (CRC)

Webinar
20 Jan, 2026
Decoding Metastatic Potential in Colorectal Cancer Using Tissue Cytometry

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!
Related Apps

IF Cellular Contact
Determine cellular phenotypes in IF-stained samples, analyze direct cell–cell contacts, and quantify marker intensity, morphometric parameters, and number/% of contacting phenotypes.
cell contacts, spatial interactions, phenotype interactions, B cells, T cells, lung, lymph node, COVID-19, SARS-Cov-2

IF Cellular microenvironment
Determine phenotypes of specific IF-stained cell populations, analyze spatial relationships to neighboring cells and metastructures (e.g. vessels, tumors), and perform proximity and infiltration analyses.
phenotyping, phenotype interactions, proximity map, spatial landscape, immune cells, tumor, colon cancer, TMA, Foxp3, CD4, CK, PD-1, T regulatory cells, fluorescence

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.


