StrataQuest from TissueGnostics

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TissueGnostics for
StrataQuest

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Description

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. Use StrataQuest to contextually explore your IHC/HC and IF processed samples.

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.).

Features:
  • Machine learning tissue classifier
  • Deep learning nuclear segmentation
  • Comprehensive image analysis operations suite
  • Flexible image pre-processing
  • Limitless layers of analysis stacking
  • App support