Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers.

ABSTRACT: Skeletal muscle is an adaptive tissue with the ability to regenerate in response to exercise training. Cross-sectional area (CSA) quantification, as a main parameter to assess muscle regeneration capability, is highly tedious and time-consuming, necessitating an accurate and automated approach to analysis. Although several excellent programs are available to automate analysis of muscle histology, they fail to efficiently and accurately measure CSA in regenerating myofibers in response to exercise training. Here, we have developed a novel fully-automated image segmentation method based on neutrosophic set algorithms to analyse whole skeletal muscle cross sections in exercise-induced regenerating myofibers, referred as MyoView, designed to obtain accurate fiber size and distribution measurem

SUBMITTER: Rahmati M 

PROVIDER: S-EPMC8556272 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature