Fully automated detection, segmentation, and analysis of in vivo RPE single cells.

ABSTRACT:

Objective

To develop a fully automated method of retinal pigmented epithelium (RPE) cells detection, segmentation and analysis based on in vivo cellular resolution images obtained with the transscleral optical phase imaging method (TOPI).

Methods

Fourteen TOPI-RPE images from 11 healthy individuals were analysed. The developed image processing method encompassed image filtering and normalisation, detection and removal of blood vessels, cell detection and cell membrane segmentation. The produced measures were cellular density of RPE layer, cell area, number of neighbouring cells, eccentricity, circularity and solidity. In addition, we proposed coefficient of variation (CV) of RPE cellular membrane (CMD_CV) and the solidity of the RPE cell membrane-shape as new metri

SUBMITTER: Caetano Dos Santos FL 

PROVIDER: S-EPMC8182826 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature