MICROSCOPY & IMAGING
Alex Barang & Felicitas Mungenast explore tissue cytometry – also known as next-gen digital pathology
T
AI IN TISSUE CYTOMETRY
issue cytometry can be defi ned as the in-situ identifi cation and quantifi cation of molecular marker expression, cellular phenotypes, mRNA, multicellular tissue entities, etc. within the native tissue environment. Tissue cytometry is equivalent to fl ow cytometry in terms of phenotypical and functional analysis, with the advantage of retaining tissue integrity. Typically, the fi rst step in a tissue
cytometry workfl ow requires the automated digitisation of immunofl uorescence or immunohistochemistry processed tissue slides by a scanning system. T e second and arguably the most critical step is to perform quantitative computer-assisted image analysis on the digitised slides. T e types of research questions that tissue cytometry can address cover a wide range of applications, including molecular single-cell profi ling (FISH, RNA-ISH, etc.), quantifi cation of cellular pathogens (viruses, bacteria, parasites), immunophenotyping for determining the immune status in-situ, and the characterisation of cellular sub- populations in spatial context. T e goal of tissue cytometry is to attain accurate observer-independent, reproducible and standardised results in an automated fashion in research and clinics.
IN THE SCOPE OF PRECISION MEDICINE T e state-of-the-art in biomedical research and medical/analytical technologies, including tissue cytometry, directly contributes to the increasing effi cacy of precision medicine over time. Precision medicine, in particular precision cancer diagnostics, uses applications such
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TissueFAXS cytometers are highly fl exible imaging and analysis platforms for IF/ IHC processed samples
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