Computer-assisted counting of retinal cells by automatic segmentation after TV denoising.

ABSTRACT:

Background

Quantitative evaluation of mosaics of photoreceptors and neurons is essential in studies on development, aging and degeneration of the retina. Manual counting of samples is a time consuming procedure while attempts to automatization are subject to various restrictions from biological and preparation variability leading to both over- and underestimation of cell numbers. Here we present an adaptive algorithm to overcome many of these problems.Digital micrographs were obtained from cone photoreceptor mosaics visualized by anti-opsin immuno-cytochemistry in retinal wholemounts from a variety of mammalian species including primates. Segmentation of photoreceptors (from background, debris, blood vessels, other cell types) was performed by a procedure based on Rudin-Osher-Fatem

SUBMITTER: Bredies K 

PROVIDER: S-EPMC3835550 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature