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Software for muscle fibre type classification and analysis

Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of di...

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Detalles Bibliográficos
Autores principales: Karen, P., Števanec, M., Smerdu, V., Cvetko, E., Kubínová, L., Eržen, I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167282/
https://www.ncbi.nlm.nih.gov/pubmed/30256864
http://dx.doi.org/10.4081/ejh.2009.e11
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author Karen, P.
Števanec, M.
Smerdu, V.
Cvetko, E.
Kubínová, L.
Eržen, I.
author_facet Karen, P.
Števanec, M.
Smerdu, V.
Cvetko, E.
Kubínová, L.
Eržen, I.
author_sort Karen, P.
collection PubMed
description Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly.
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spelling pubmed-31672822011-11-09 Software for muscle fibre type classification and analysis Karen, P. Števanec, M. Smerdu, V. Cvetko, E. Kubínová, L. Eržen, I. Eur J Histochem Original Paper Fibre type determination requires a large series of differently stained muscle sections. The manual identification of individual fibres through the series is tedious and time consuming. This paper presents a software that enables (i) adjusting the position of individual fibres through a series of differently stained sections (image registration) and identification of individual fibres through the series as well as (ii) muscle fibre classification and (iii) quantitative analysis. The data output of the system is the following: numerical and areal proportions of fibre types, fibre type size and optical density (grey level) of the final reaction product in every fibre. The muscle fibre type can be determined stepwise, based on one set of stained sections while further, newly stained sections can be added to the already defined muscle fibre profile. Several advantages of the presented software application in skeletal muscle research are presented. The system is semiquantitative, flexible, and user friendly. PAGEPress Publications 2009-06-29 /pmc/articles/PMC3167282/ /pubmed/30256864 http://dx.doi.org/10.4081/ejh.2009.e11 Text en ©2009 European Journal of Histochemistry
spellingShingle Original Paper
Karen, P.
Števanec, M.
Smerdu, V.
Cvetko, E.
Kubínová, L.
Eržen, I.
Software for muscle fibre type classification and analysis
title Software for muscle fibre type classification and analysis
title_full Software for muscle fibre type classification and analysis
title_fullStr Software for muscle fibre type classification and analysis
title_full_unstemmed Software for muscle fibre type classification and analysis
title_short Software for muscle fibre type classification and analysis
title_sort software for muscle fibre type classification and analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167282/
https://www.ncbi.nlm.nih.gov/pubmed/30256864
http://dx.doi.org/10.4081/ejh.2009.e11
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