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New indexes for myofibril linearity in muscle image analysis

The endeavor to evaluate the linearity of myofibrillar structures and their potential deviation from a straight line is a fascinating problem in muscle tissue image analysis. In this Letter, we suggest two different strategies for solving the same challenge. The first strategy is based on an alignme...

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Detalles Bibliográficos
Autores principales: Rocchi, Ettore, Peluso, Sara, Amatori, Stefano, Sisti, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830398/
https://www.ncbi.nlm.nih.gov/pubmed/36193819
http://dx.doi.org/10.4081/ejtm.2022.10736
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author Rocchi, Ettore
Peluso, Sara
Amatori, Stefano
Sisti, Davide
author_facet Rocchi, Ettore
Peluso, Sara
Amatori, Stefano
Sisti, Davide
author_sort Rocchi, Ettore
collection PubMed
description The endeavor to evaluate the linearity of myofibrillar structures and their potential deviation from a straight line is a fascinating problem in muscle tissue image analysis. In this Letter, we suggest two different strategies for solving the same challenge. The first strategy is based on an alignment index, which could be derived by comparing the sum of the lengths of the individual sarcomeres with the distance between the "head" of the first and the "tail" of the last sarcomere. The second strategy relies on circular statistics, which takes a cue from an already suggested method. Our proposed methods are alternatives: the former has the advantage of simplicity; the latter is certainly more elegant and gives greater substance to statistical analysis, but in contrast, it also has greater computational complexity.
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spelling pubmed-98303982023-01-11 New indexes for myofibril linearity in muscle image analysis Rocchi, Ettore Peluso, Sara Amatori, Stefano Sisti, Davide Eur J Transl Myol Article The endeavor to evaluate the linearity of myofibrillar structures and their potential deviation from a straight line is a fascinating problem in muscle tissue image analysis. In this Letter, we suggest two different strategies for solving the same challenge. The first strategy is based on an alignment index, which could be derived by comparing the sum of the lengths of the individual sarcomeres with the distance between the "head" of the first and the "tail" of the last sarcomere. The second strategy relies on circular statistics, which takes a cue from an already suggested method. Our proposed methods are alternatives: the former has the advantage of simplicity; the latter is certainly more elegant and gives greater substance to statistical analysis, but in contrast, it also has greater computational complexity. PAGEPress Publications, Pavia, Italy 2022-10-04 /pmc/articles/PMC9830398/ /pubmed/36193819 http://dx.doi.org/10.4081/ejtm.2022.10736 Text en https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Rocchi, Ettore
Peluso, Sara
Amatori, Stefano
Sisti, Davide
New indexes for myofibril linearity in muscle image analysis
title New indexes for myofibril linearity in muscle image analysis
title_full New indexes for myofibril linearity in muscle image analysis
title_fullStr New indexes for myofibril linearity in muscle image analysis
title_full_unstemmed New indexes for myofibril linearity in muscle image analysis
title_short New indexes for myofibril linearity in muscle image analysis
title_sort new indexes for myofibril linearity in muscle image analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830398/
https://www.ncbi.nlm.nih.gov/pubmed/36193819
http://dx.doi.org/10.4081/ejtm.2022.10736
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