Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images

Autores
Oliver Gelabert, Antoni; García Mendívil, Laura; Vallejo Gil, José María; Fresneda Roldán, Pedro Carlos; Andelová, Katarína; Fañanás Mastral, Javier; Vázquez Sancho, Manuel; Matamala Adell, Marta; Sorribas Berjón, Fernando; Ballester Cuenca, Carlos; Tribulova, Narcisa; Ordovás, Laura; Diez, Emiliano Raúl; Pueyo, Esther
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cardiomyocytes’ geometry and connexin 43 (CX43) amount and distribution are structural features that play a pivotal role in electrical conduction. Their quantitative assessment is of high interest in the study of arrhythmias, but it is usually hampered by the lack of automatic tools. In this work, we propose a software algorithm (Myocyte Automatic Retrieval and Tissue Analyzer, MARTA) to automatically detect myocytes from fluorescent microscopy images of cardiac tissue, measure their morphological features and evaluate the expression of CX43 and its degree of lateralization. The proposed software is based on the generation of cell masks, contouring of individual cells, enclosing of cells in minimum area rectangles and splitting of these rectangles into end-to-end and middle compartments to estimate CX43 lateral-to-total ratio. Application to human ventricular tissue images shows that mean differences between automatic and manual methods in terms of cardiomyocyte length and width are below 4 µm. The percentage of lateral CX43 also agrees between automatic and manual evaluation, with the interquartile range approximately covering from 3% to 30% in both cases. MARTA is not limited by fiber orientation and has an optimized speed by using contour filtering, which makes it run hundreds of times faster than a trained expert. Developed for CX43 studies in the left ventricle, MARTA is a flexible tool applicable to morphometric and lateralization studies of other markers in any heart chamber or even skeletal muscle. This open-access software is available online.
Fil: Oliver Gelabert, Antoni. Universidad de Zaragoza; España
Fil: García Mendívil, Laura. Universidad de Zaragoza; España
Fil: Vallejo Gil, José María. University Hospital Miguel Servet; España
Fil: Fresneda Roldán, Pedro Carlos. University Hospital Miguel Servet; España
Fil: Andelová, Katarína. Centre of Experimental Medicine; Eslovaquia
Fil: Fañanás Mastral, Javier. University Hospital Miguel Servet; España
Fil: Vázquez Sancho, Manuel. University Hospital Miguel Servet; España
Fil: Matamala Adell, Marta. University Hospital Miguel Servet; España
Fil: Sorribas Berjón, Fernando. University Hospital Miguel Servet; España
Fil: Ballester Cuenca, Carlos. University Hospital Miguel Servet; España
Fil: Tribulova, Narcisa. Centre of Experimental Medicine; Eslovaquia
Fil: Ordovás, Laura. Universidad de Zaragoza; España
Fil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina
Fil: Pueyo, Esther. Biomedical Research Networking Center in Bioengineering; España. Universidad de Zaragoza; España
Materia
AUTOMATED QUANTIFICATION
CARDIOMYOCYTES
CONNEXIN 43
FLUORESCENT MICROSCOPY
LATERALIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/138805

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence imagesOliver Gelabert, AntoniGarcía Mendívil, LauraVallejo Gil, José MaríaFresneda Roldán, Pedro CarlosAndelová, KatarínaFañanás Mastral, JavierVázquez Sancho, ManuelMatamala Adell, MartaSorribas Berjón, FernandoBallester Cuenca, CarlosTribulova, NarcisaOrdovás, LauraDiez, Emiliano RaúlPueyo, EstherAUTOMATED QUANTIFICATIONCARDIOMYOCYTESCONNEXIN 43FLUORESCENT MICROSCOPYLATERALIZATIONhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Cardiomyocytes’ geometry and connexin 43 (CX43) amount and distribution are structural features that play a pivotal role in electrical conduction. Their quantitative assessment is of high interest in the study of arrhythmias, but it is usually hampered by the lack of automatic tools. In this work, we propose a software algorithm (Myocyte Automatic Retrieval and Tissue Analyzer, MARTA) to automatically detect myocytes from fluorescent microscopy images of cardiac tissue, measure their morphological features and evaluate the expression of CX43 and its degree of lateralization. The proposed software is based on the generation of cell masks, contouring of individual cells, enclosing of cells in minimum area rectangles and splitting of these rectangles into end-to-end and middle compartments to estimate CX43 lateral-to-total ratio. Application to human ventricular tissue images shows that mean differences between automatic and manual methods in terms of cardiomyocyte length and width are below 4 µm. The percentage of lateral CX43 also agrees between automatic and manual evaluation, with the interquartile range approximately covering from 3% to 30% in both cases. MARTA is not limited by fiber orientation and has an optimized speed by using contour filtering, which makes it run hundreds of times faster than a trained expert. Developed for CX43 studies in the left ventricle, MARTA is a flexible tool applicable to morphometric and lateralization studies of other markers in any heart chamber or even skeletal muscle. This open-access software is available online.Fil: Oliver Gelabert, Antoni. Universidad de Zaragoza; EspañaFil: García Mendívil, Laura. Universidad de Zaragoza; EspañaFil: Vallejo Gil, José María. University Hospital Miguel Servet; EspañaFil: Fresneda Roldán, Pedro Carlos. University Hospital Miguel Servet; EspañaFil: Andelová, Katarína. Centre of Experimental Medicine; EslovaquiaFil: Fañanás Mastral, Javier. University Hospital Miguel Servet; EspañaFil: Vázquez Sancho, Manuel. University Hospital Miguel Servet; EspañaFil: Matamala Adell, Marta. University Hospital Miguel Servet; EspañaFil: Sorribas Berjón, Fernando. University Hospital Miguel Servet; EspañaFil: Ballester Cuenca, Carlos. University Hospital Miguel Servet; EspañaFil: Tribulova, Narcisa. Centre of Experimental Medicine; EslovaquiaFil: Ordovás, Laura. Universidad de Zaragoza; EspañaFil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; ArgentinaFil: Pueyo, Esther. Biomedical Research Networking Center in Bioengineering; España. Universidad de Zaragoza; EspañaMolecular Diversity Preservation International2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/138805Oliver Gelabert, Antoni; García Mendívil, Laura; Vallejo Gil, José María; Fresneda Roldán, Pedro Carlos; Andelová, Katarína; et al.; Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images; Molecular Diversity Preservation International; Biomolecules; 10; 9; 9-2020; 1-252218-273XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2218-273X/10/9/1334info:eu-repo/semantics/altIdentifier/doi/10.3390/biom10091334info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:39:39Zoai:ri.conicet.gov.ar:11336/138805instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:39:40.051CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
title Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
spellingShingle Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
Oliver Gelabert, Antoni
AUTOMATED QUANTIFICATION
CARDIOMYOCYTES
CONNEXIN 43
FLUORESCENT MICROSCOPY
LATERALIZATION
title_short Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
title_full Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
title_fullStr Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
title_full_unstemmed Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
title_sort Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images
dc.creator.none.fl_str_mv Oliver Gelabert, Antoni
García Mendívil, Laura
Vallejo Gil, José María
Fresneda Roldán, Pedro Carlos
Andelová, Katarína
Fañanás Mastral, Javier
Vázquez Sancho, Manuel
Matamala Adell, Marta
Sorribas Berjón, Fernando
Ballester Cuenca, Carlos
Tribulova, Narcisa
Ordovás, Laura
Diez, Emiliano Raúl
Pueyo, Esther
author Oliver Gelabert, Antoni
author_facet Oliver Gelabert, Antoni
García Mendívil, Laura
Vallejo Gil, José María
Fresneda Roldán, Pedro Carlos
Andelová, Katarína
Fañanás Mastral, Javier
Vázquez Sancho, Manuel
Matamala Adell, Marta
Sorribas Berjón, Fernando
Ballester Cuenca, Carlos
Tribulova, Narcisa
Ordovás, Laura
Diez, Emiliano Raúl
Pueyo, Esther
author_role author
author2 García Mendívil, Laura
Vallejo Gil, José María
Fresneda Roldán, Pedro Carlos
Andelová, Katarína
Fañanás Mastral, Javier
Vázquez Sancho, Manuel
Matamala Adell, Marta
Sorribas Berjón, Fernando
Ballester Cuenca, Carlos
Tribulova, Narcisa
Ordovás, Laura
Diez, Emiliano Raúl
Pueyo, Esther
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AUTOMATED QUANTIFICATION
CARDIOMYOCYTES
CONNEXIN 43
FLUORESCENT MICROSCOPY
LATERALIZATION
topic AUTOMATED QUANTIFICATION
CARDIOMYOCYTES
CONNEXIN 43
FLUORESCENT MICROSCOPY
LATERALIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Cardiomyocytes’ geometry and connexin 43 (CX43) amount and distribution are structural features that play a pivotal role in electrical conduction. Their quantitative assessment is of high interest in the study of arrhythmias, but it is usually hampered by the lack of automatic tools. In this work, we propose a software algorithm (Myocyte Automatic Retrieval and Tissue Analyzer, MARTA) to automatically detect myocytes from fluorescent microscopy images of cardiac tissue, measure their morphological features and evaluate the expression of CX43 and its degree of lateralization. The proposed software is based on the generation of cell masks, contouring of individual cells, enclosing of cells in minimum area rectangles and splitting of these rectangles into end-to-end and middle compartments to estimate CX43 lateral-to-total ratio. Application to human ventricular tissue images shows that mean differences between automatic and manual methods in terms of cardiomyocyte length and width are below 4 µm. The percentage of lateral CX43 also agrees between automatic and manual evaluation, with the interquartile range approximately covering from 3% to 30% in both cases. MARTA is not limited by fiber orientation and has an optimized speed by using contour filtering, which makes it run hundreds of times faster than a trained expert. Developed for CX43 studies in the left ventricle, MARTA is a flexible tool applicable to morphometric and lateralization studies of other markers in any heart chamber or even skeletal muscle. This open-access software is available online.
Fil: Oliver Gelabert, Antoni. Universidad de Zaragoza; España
Fil: García Mendívil, Laura. Universidad de Zaragoza; España
Fil: Vallejo Gil, José María. University Hospital Miguel Servet; España
Fil: Fresneda Roldán, Pedro Carlos. University Hospital Miguel Servet; España
Fil: Andelová, Katarína. Centre of Experimental Medicine; Eslovaquia
Fil: Fañanás Mastral, Javier. University Hospital Miguel Servet; España
Fil: Vázquez Sancho, Manuel. University Hospital Miguel Servet; España
Fil: Matamala Adell, Marta. University Hospital Miguel Servet; España
Fil: Sorribas Berjón, Fernando. University Hospital Miguel Servet; España
Fil: Ballester Cuenca, Carlos. University Hospital Miguel Servet; España
Fil: Tribulova, Narcisa. Centre of Experimental Medicine; Eslovaquia
Fil: Ordovás, Laura. Universidad de Zaragoza; España
Fil: Diez, Emiliano Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Medicina y Biología Experimental de Cuyo; Argentina
Fil: Pueyo, Esther. Biomedical Research Networking Center in Bioengineering; España. Universidad de Zaragoza; España
description Cardiomyocytes’ geometry and connexin 43 (CX43) amount and distribution are structural features that play a pivotal role in electrical conduction. Their quantitative assessment is of high interest in the study of arrhythmias, but it is usually hampered by the lack of automatic tools. In this work, we propose a software algorithm (Myocyte Automatic Retrieval and Tissue Analyzer, MARTA) to automatically detect myocytes from fluorescent microscopy images of cardiac tissue, measure their morphological features and evaluate the expression of CX43 and its degree of lateralization. The proposed software is based on the generation of cell masks, contouring of individual cells, enclosing of cells in minimum area rectangles and splitting of these rectangles into end-to-end and middle compartments to estimate CX43 lateral-to-total ratio. Application to human ventricular tissue images shows that mean differences between automatic and manual methods in terms of cardiomyocyte length and width are below 4 µm. The percentage of lateral CX43 also agrees between automatic and manual evaluation, with the interquartile range approximately covering from 3% to 30% in both cases. MARTA is not limited by fiber orientation and has an optimized speed by using contour filtering, which makes it run hundreds of times faster than a trained expert. Developed for CX43 studies in the left ventricle, MARTA is a flexible tool applicable to morphometric and lateralization studies of other markers in any heart chamber or even skeletal muscle. This open-access software is available online.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/138805
Oliver Gelabert, Antoni; García Mendívil, Laura; Vallejo Gil, José María; Fresneda Roldán, Pedro Carlos; Andelová, Katarína; et al.; Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images; Molecular Diversity Preservation International; Biomolecules; 10; 9; 9-2020; 1-25
2218-273X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/138805
identifier_str_mv Oliver Gelabert, Antoni; García Mendívil, Laura; Vallejo Gil, José María; Fresneda Roldán, Pedro Carlos; Andelová, Katarína; et al.; Automatic quantification of cardiomyocyte dimensions and connexin 43 lateralization in fluorescence images; Molecular Diversity Preservation International; Biomolecules; 10; 9; 9-2020; 1-25
2218-273X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2218-273X/10/9/1334
info:eu-repo/semantics/altIdentifier/doi/10.3390/biom10091334
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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