Classification of Microglial Morphological Phenotypes Using Machine Learning.

ABSTRACT: Microglia are the brain's immunocompetent macrophages with a unique feature that allows surveillance of the surrounding microenvironment and subsequent reactions to tissue damage, infection, or homeostatic perturbations. Thereby, microglia's striking morphological plasticity is one of their prominent characteristics and the categorization of microglial cell function based on morphology is well established. Frequently, automated classification of microglial morphological phenotypes is performed by using quantitative parameters. As this process is typically limited to a few and especially manually chosen criteria, a relevant selection bias may compromise the resulting classifications. In our study, we describe a novel microglial classification method by morphological evaluation using a convo

SUBMITTER: Leyh J 

PROVIDER: S-EPMC8276040 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature