Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms.

ABSTRACT: The resident macrophages of the central nervous system, microglia, are becoming increasingly implicated as active participants in neuropathology and ageing. Their diverse and changeable morphology is tightly linked with functions they perform, enabling assessment of their activity through image analysis. To better understand the contributions of microglia in health, senescence, and disease, it is necessary to measure morphology with both speed and reliability. A machine learning approach was developed to facilitate automatic classification of images of retinal microglial cells as one of five morphotypes, using a support vector machine (SVM). The area under the receiver operating characteristic curve for this SVM was between 0.99 and 1, indicating strong performance. The densities of the di

SUBMITTER: Choi S 

PROVIDER: S-EPMC8810899 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature