Automated Individualization of Size-Varying and Touching Neurons in Macaque Cerebral Microscopic Images.

ABSTRACT: In biomedical research, cell analysis is important to assess physiological and pathophysiological information. Virtual microscopy offers the unique possibility to study the compositions of tissues at a cellular scale. However, images acquired at such high spatial resolution are massive, contain complex information, and are therefore difficult to analyze automatically. In this article, we address the problem of individualization of size-varying and touching neurons in optical microscopy two-dimensional (2-D) images. Our approach is based on a series of processing steps that incorporate increasingly more information. (1) After a step of segmentation of neuron class using a Random Forest classifier, a novel min-max filter is used to enhance neurons' centroids and boundaries, enabling the use

SUBMITTER: You Z 

PROVIDER: S-EPMC6929681 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature