Literature DB >> 19683982

Software for muscle fibre type classification and analysis.

P Karen1, M Stevanec, V Smerdu, E Cvetko, L Kubínová, I Erzen.   

Abstract

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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Year:  2009        PMID: 19683982     DOI: 10.4081/ejh.2009.87

Source DB:  PubMed          Journal:  Eur J Histochem        ISSN: 1121-760X            Impact factor:   3.188


  11 in total

1.  Development of image analysis tool for the classification of muscle fibre type using immunohistochemical staining.

Authors:  Bruno Meunier; Brigitte Picard; Thierry Astruc; Roland Labas
Journal:  Histochem Cell Biol       Date:  2010-08-14       Impact factor: 4.304

2.  3D analysis of capillary network in skeletal muscle of obese insulin-resistant mice.

Authors:  Nejc Umek; Simon Horvat; Erika Cvetko; Marko Kreft; Jiří Janáček; Lucie Kubínová; Tatjana Stopar Pintarič; Ida Eržen
Journal:  Histochem Cell Biol       Date:  2019-08-31       Impact factor: 4.304

3.  Structural and functional alterations of the cell nucleus in skeletal muscle wasting: the evidence in situ.

Authors:  M Malatesta; G Meola
Journal:  Eur J Histochem       Date:  2010-10-19       Impact factor: 3.188

4.  Histochemistry through the years, browsing a long-established journal: novelties in traditional subjects.

Authors:  C Pellicciari
Journal:  Eur J Histochem       Date:  2010-12-16       Impact factor: 3.188

5.  Identifying pathological biomarkers: histochemistry still ranks high in the omics era.

Authors:  C Pellicciari; M Malatesta
Journal:  Eur J Histochem       Date:  2011-12-07       Impact factor: 3.188

6.  Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering.

Authors:  Harry Strange; Ian Scott; Reyer Zwiggelaar
Journal:  BMC Med Imaging       Date:  2014-10-29       Impact factor: 1.930

7.  Size and Proportions of Slow-Twitch and Fast-Twitch Muscle Fibers in Human Costal Diaphragm.

Authors:  Marija Meznaric; Erika Cvetko
Journal:  Biomed Res Int       Date:  2016-11-07       Impact factor: 3.411

8.  Quantifiable diagnosis of muscular dystrophies and neurogenic atrophies through network analysis.

Authors:  Aurora Sáez; Eloy Rivas; Adoración Montero-Sánchez; Carmen Paradas; Begoña Acha; Alberto Pascual; Carmen Serrano; Luis M Escudero
Journal:  BMC Med       Date:  2013-03-20       Impact factor: 8.775

9.  A simplified immunohistochemical classification of skeletal muscle fibres in mouse.

Authors:  M Kammoun; I Cassar-Malek; B Meunier; B Picard
Journal:  Eur J Histochem       Date:  2014-06-24       Impact factor: 3.188

10.  Effect of high-fat mixed lipid diet and swimming on fibre types in skeletal muscles of rats with colon tumours.

Authors:  Vika Smerdu; Martina Perše
Journal:  Eur J Histochem       Date:  2018-07-25       Impact factor: 3.188

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