
IF Glomeruli
Detect tissue, cells, and marker-stained glomeruli, segment cells into nucleus and/or cytoplasm, define phenotypes of IF-stained populations, classify cells inside or at defined distances from glomeruli.
metastructures
single-cell analysis
spatial analysis
immunophenotyping
glomeruli, kidney, renal research, fluorescence

The IF Glomeruli App provides the detection of tissue, cells and of glomeruli (stained by a specific marker). It segments the cells into nucleus, and/or cytoplasm and determines the cellular phenotype of specific IF stained cell populations. The detected cells can be classified as being either inside the glomeruli or outside in certain distances (distance ranges can be defined) of the glomeruli. For each cell the spatial information as well as up to 20 intensity, statistics and morphometric parameters are measured. The data can be displayed in diagrams and exported.

Original image

Glomeruli detection

Tissue/glomeruli/phenotype detection

Proximity measurements
immunophenotyping

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

Customer Publication
11 Mar, 2026
Spatial Multi-Omics Identifies NAD-Driven Niche in Early Gastric Cancer
single-cell analysis

White Paper
30 Mar, 2026
Understanding NeuroCOVID-19: SARS-CoV-2 Disrupts Astrocyte Homeostatic Functions
metastructures

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 Brain App
Classify brain regions using an AI-based classifier and detect cellular phenotypes (e.g., astrocytes) based on markers, quantify tissue areas, total cells, and phenotype counts across regions.
brain, mouse, astrocytes, machine learning

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

IF Granuloma
Detect granulomas using nuclear structure analysis and IF markers (e.g. CD11c, CD68), measure granuloma number, area, and density, and export up to 20 intensity, statistic, and morphometric parameters per cell compartment.
dentritic cells, macrophages, inflammation, granulomas, mouse, liver, fluorescence, microeinvironment, immune cells

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.
