This chapter gives an in-depth introduction to tissue image cytometry, which can be seen as the next-generation digital imaging or digital pathology approach. It is highly complementary to the commonly used flow cytometry measurements for phenotyping at the single cell level, but applied to the intact tissue without need for a physical disintegration of tissue to a single cell level. The strength is based on the ability to convert the image data of a tissue specimen to numerical values in a patient-specific manner and thereby provide the quantitative insights into tissue architecture, cellular morphology as well as cell–cell interactions, adjusted to their localization in the context of complex tissue anatomy. This integrative technology provides a superior solution for a wide range of applications both in basic science and preclinical/clinical/translational research. Diana Mechtcheriakova and the Team describe herein the tissue image cytometry among the principal applications in the direction of personalized/precision medicine. The authors focus on promising diagnostic and therapeutic direction attributed to immuno-oncology and, more precisely, on lymphoid structures – the highly organized immune cell aggregates with active germinal centers – as markers of disease outcome.
Reference Source
https://iopscience.iop.org/book/978-0-7503-3059-6/chapter/bk978-0-7503-3059-6ch14
Meshcheryakova, A., Mungenast, F., Ecker, R., & Mechtcheriakova, D. (2021). Tissue image cytometry. Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1 (pp. I.2.h-1-I.2.h-10): IOP Publishing. doi.org/10.1088/978-0-7503-3059-6ch14