Automated image-analysis method for the quantification of fiber morphometry and fiber type population in human skeletal muscle.

ABSTRACT:

Background

The quantitative analysis of muscle histomorphometry has been growing in importance in both research and clinical settings. Accurate and stringent assessment of myofibers' changes in size and number, and alterations in the proportion of oxidative (type I) and glycolytic (type II) fibers is essential for the appropriate study of aging and pathological muscle, as well as for diagnosis and follow-up of muscle diseases. Manual and semi-automated methods to assess muscle morphometry in sections are time-consuming, limited to a small field of analysis, and susceptible to bias, while most automated methods have been only tested in rodent muscle.

Methods

We developed a new macro script for Fiji-ImageJ to automatically assess human fiber morphometry in digital images of th

SUBMITTER: Reyes-Fernandez PC 

PROVIDER: S-EPMC6537183 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature