7th generation of tissue cytometry analysis now featuring machine- and deep-learning modules

The goal of TissueGnostics (TG) is to bring the same type of phenotypical and functional analysis as known from flow cytometry (FACS) into tissue context. Explore your IHC/HC and IF processed samples using TG’s single-cell analysis solutions TissueQuest & HistoQuest and/or the contextual analysis solution StrataQuest.

Use TG’s analysis solutions for (i) immunophenotyping – determine the immune status of tissues in-situ; (ii) Tumor- & Cellular- microenvironment – perform phenotypic characterization of cell-populations in spatial context; (iii) identification of cells even in dense tissue (e.g. lymphatic organs) through Deep Learning; (iv) automated classification of tissue structures by Machine Learning into any number of classes; (v) high-content phenotyping by multiplexing and spectral unmixing; (vi) assessment of subcellular markers; (vii) molecular single-cell profiling using antibody labeling, FISH, CISH, RNAScope, expansion microscopy; (viii) quantification of pathogens, including intracellular parasites (e.g. leishmania) and viral load (e.g. SARS-CoV-2, Influenza, HIV, Zika, etc.).