A model-based hierarchical Bayesian approach to Sholl analysis.

ABSTRACT:

Motivation

Due to the link between microglial morphology and function, morphological changes in microglia are frequently used to identify pathological immune responses in the central nervous system. In the absence of pathology, microglia are responsible for maintaining homeostasis, and their morphology can be indicative of how the healthy brain behaves in the presence of external stimuli and genetic differences. Despite recent interest in high throughput methods for morphological analysis, Sholl analysis is still widely used for quantifying microglia morphology via imaging data. Often, the raw data are naturally hierarchical, minimally including many cells per image and many images per animal. However, existing methods for performing downstream inference on Sholl data rely on trunc

SUBMITTER: VonKaenel E 

PROVIDER: S-EPMC10985672 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature