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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/138805
Ver los metadatos del registro completo
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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 Técnicas2025-10-22T12:11:58Zoai: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:34982025-10-22 12:11:59.187CONICET 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 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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