AI-powered phenotyping of multiplexed images
An essential tool for investigation of the tumor microenvironment
The challenge with multiplexed technologies: Interpreting tissue images stained with high dimensional and multiplexed technologies represents a significant challenge to the unaided human cognitive system. As staining technologies such as imaging mass cytometry (IMC TM Fluidigm) and high-plex fluorescent panels continue to stretch our abilities to interrogate the tumor microenvironment, finding meaningful differences in your data becomes an ever more data-heavy and daunting challenge.
Align it all
Combine all imaging channels to get a complete picture.
The full picture
The phenotyping module will analyze all the data and display a phenotype map of the tissue microenvironment.
Apply heatmaps to quickly assess specific phenotypes.
Enter the matrix
Use the phenotype matrix to visualize the marker expression in each image.
Get to know the neighborhood
Neighborhood analysis compares cell phenotypes to get a better look at the cell populations in your data.
Compare and contrast
Use t-SNE plots to analyze expression and look for changes across study groups.
Find cell phenotypes using any number of biomarkers
Visiopharm’s AI-powered Phenotyping module streamlines and automates the analysis workflow of high dimensional image data. Discover individual cells types and populations, then use the comprehensive set of measurement and visualization tools to find differences between study groups.
What can you expect:
Automatically clusters high dimensional data into easy to understand cell phenotypes that are based on marker expression.
Works with spectrally unmixed data from Akoya Vectra, Vectra Polaris, Ultivue and IONPath (MIBI), as well as CODEX and other sequentially stained technologies, as well as Fluidigm IMC data.
Generates phenotypic matrices, profiles, neighborhood analysis and t-SNE plots to see phenotypic relationships and understand the spatial correlations in your data.
Move to the forefront of tissue discovery
Technologies like mass cytometry and multiplex fluorescence staining have changed the game when it comes to biomarker identification. It’s time that your image analysis software enables your next ground-breaking results.
We are using these methods to determine the diversity of macrophage profiles that are present in liver biopsy samples from patients with different types of chronic liver disease, including viral hepatitis C, autoimmune hepatitis, and non-alcoholic steatohepatitisHeather L. Stevenson M.D., PhD, Asst. Professor, Dept. of Pathology Liver & Transplantation Pathologist, The University of Texas Medical Branch
Visualization, quantification, and mapping of immune cell populations in the tumor microenvironment
See the Visiopharm software in action with this JOVE video. Flores Molina et al. show how their group uses the software to align multiple stained tissue sections, then applies analysis protocols to investigate the immune landscape of the tumor microenvironment.
Flores Molina, M., Fabre, T., Cleret-Buhot, A., Soucy, G., Meunier, L., Abdelnabi, M. N., Belforte, N., Turcotte, S., Shoukry, N. H. Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment. J. Vis. Exp. (157), e60740, doi:10.3791/60740 (2020).