phenoptrReports & phenoptr
phenoptrReports spatial analysis software provides an easy-to-use, front-end GUI to run phenoptr spatial algorithms to perform systems biology hypothesis-driven experiments for the discovery of predictive biomarkers.
phenoptrReports is not just about the identification of cellular phenotypes and their functional states and displaying results in shareable, easy-to-read data reports, data is made actionable by powerful tools to visualize phenotypic relationships overlaid tissue and the analysis of consolidated spatial metrics across whole tissue sections and TMA cores. Furthermore, algorithms that determine the quality of your unmixing spectral library help you optimize your multiplexed staining assays for best-in-class quantitative analysis.
FAST, POWERFUL ANALYTICS
Automated Phenotyping Phenotypic Densities/Counts H-scores
Go beyond writing logic functions. Let phenoptrReports consolidate inForm data and report on which cellular phenotypes and their functional states exist across a whole slide or TMA section.
SPATIAL BIOLOGY ENABLES ACTIONABLE DATA
On-Tissue Spatial Mapping Nearest Neighbor Analysis Proximity Analysis
Easy-to-use spatial analysis tools provide on-tissue visualizations for better visualization of phenotypic interactions. Analysis of the location and density of different immune populations in relation to tumor enables actionable data to better indentify prognostic and predictive biomarkers.
OPTIMIZE STAINING ASSAYS FOR BEST SPECTRAL UNMIXING
Cross Talk Analysis Image Statistic Component Reporting
phenoptrReports’ unmixing quality report permits better optimization of multiplexed staining protocols for best-in-class quantitative analysis. Spectral unmixing enables the quantitization of weakly expressing and overlapping biomarkers within cells and cellular compartments that cannot be indentified using traditional imaging and analysis techniques, as well as the ability to unmix autofluorescence from desired signal.