Unsupervised Profiling of Microglial Arbor Morphologies and Distribution Using a Nonparametric Bayesian Approach.

The morphologies of microglial arbors in brain tissue are important indicators of their state of activation, and their spatial distribution indicates patterns of tissue perturbation. This paper presents a non-parametric Bayesian approach to unsupervised quantitative profiling of microglial activation states, and mapping their 3-D spatial distributions across extended brain tissue regions imaged by...