Phenotyping
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.
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:
Intelligent software
Automatically clusters high dimensional data into easy to understand cell phenotypes that are based on marker expression.
Integrative workflows
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.
Actionable results
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 steatohepatitis
Heather 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).