Automated segmentation and analysis of retinal microglia within ImageJ.

ABSTRACT: Microglia are immune cells of the central nervous system capable of distinct phenotypic changes and migration in response to injury. These changes most notably include the retraction of fine dendritic structures and adoption of a globular, phagocytic morphology. Due to their characteristic responses, microglia frequently act as histological indicators of injury progression. While algorithms seeking to automate microglia counts and morphological analysis are becoming increasingly popular, few exist that are adequate for use within the retina and manual analysis remains prevalent. To address this, we propose a novel segmentation routine, implemented within FIJI-ImageJ, to perform automated segmentation and cell counting of retinal microglia. We show that our routine could perform cell counts

SUBMITTER: Ash NF 

PROVIDER: S-EPMC7867634 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature