A hitchhiker's guide to mitochondrial quantification.

Autor: Hemel IMGM; Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands., Engelen BPH; Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands., Luber N; Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands., Gerards M; Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands. Electronic address: mike.gerards@maastrichtuniversity.nl.
Jazyk: angličtina
Zdroj: Mitochondrion [Mitochondrion] 2021 Jul; Vol. 59, pp. 216-224. Date of Electronic Publication: 2021 Jun 06.
DOI: 10.1016/j.mito.2021.06.005
Abstrakt: The variety of available mitochondrial quantification tools makes it difficult to select the most reliable and accurate quantification tool. Here, we performed elaborate analyses on five open source ImageJ tools. Excessive clustering of mitochondrial structures was observed in four tools, caused by the global thresholding applied by these tools. The Mitochondrial Analyzer, which uses adaptive thresholding, outperformed the other examined tools, with accurate structural segregation and identification. Additionally, we showed that the Mitochondrial Analyzer successfully identifies mitochondrial morphology differences. Based on the observed performance, we consider the Mitochondrial Analyzer the best open source tool for mitochondrial network morphology quantification.
(Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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