Sirius Red Angio
Detect Sirius Red–stained collagen and blood vessels, and quantify collagen area and total vessel count within the analyzed tissue.
sirius red, collagen, blood vessel, vascularization, liver
The Angio Sirius Red App detects collagen based on Sirius Red staining as well as blood vessels. As outcome the APP outputs the area of Sirius Red stained collagen as well as the number of detected vessels.
Original Image
vessel detection
Collagen detection
Application Note
01 Jun, 2023
Evaluating the Distance of Tumor Cells from Blood Vessels
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
IHC Angio
Detect blood vessels based on appropriate stains (e.g. CD31), measure vessel and lumen areas, and export vessel number, density, and areas of vessels, endothelium, and lumina.
blood vessels, tumor vascularization, tumor microenvironment, brightfield
IF Tumor Vascularization
Segment tissue into tumor and stroma/healthy areas, detect CD31+ vessels, and quantify vessel number, area, density, and connectivity with configurable wall closing and distance linking.
vasculatization, cancer, stroma, tumor, blood vessels, CD31, spatial analysis, tumor microenvironment
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.
