An image segmentation pipeline optimized for human microglia uncovers sources of morphological diversity in Alzheimer's disease
R. M. De Jager, A. J. Lee, A. Sigalov, M. Taga
This study develops an image segmentation pipeline to analyze human microglia morphology in Alzheimer's disease, revealing that microglia associated with amyloid plaques have distinct morphological features.
bioRxiv · Feb 1, 2024 · PreprintPathology