As new staining technologies such as imaging mass cytometry (IMC™, Standard BioTools) and high-plex fluorescent panels (Akoya PhenoCycler®) stretch our abilities to interrogate the tumor microenvironment using spatial biology, finding meaningful differences in your data becomes a challenge.
Our end-to-end workflow for all your multiplexed image analysis needs contains all steps in one software:
Visualize
Import images from all major multiplex image formats (Akoya Biosciences, Standard BioTools, Lunaphore, Rarecyte, Ionpath, Canopy Biosciences, Olympus, Zeiss and more). Set user-defined color channel groups of biomarker combinations and easily switch between them for quick visualization of cell types/marker groups and initial image QC. Assign colors to individual channels or channel groups and review each channel to make sure it contains good data. Exclude individual channels from downstream analyses during a QC step.
Classify Tissue
Use Paint-to-Train AI-based tissue segmentation on any combination of markers to detect morphologic regions of the sample: tumor, stroma, necrosis, artifacts, etc. Use these regions to better inform localization of immune and other cell populations in relation to the tumor, stroma, etc. Further divide the tumor into subregions, automatically exclude non-relevant areas (blank slide, artifacts, etc) and create margins around specific regions of interest, e.g., to define an invasive tumor front.
Detect Cells
Use our pre-trained deep-learning-based nuclear detection and cell segmentation algorithms for fluorescence (DAPI) and imaging mass cytometry (DNA-Iridium channels). If you have special requirements for you cell detection,