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Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy

The procedures used routinely for collagen and lipofuscin evaluation are, in many cases, qualitative, observer dependent, and disregard spatial distribution. Here, we present a protocol for automatic quantification and spatial characterization of collagen and lipofuscin from label-free microscopy im...

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Detalles Bibliográficos
Autores principales: García-Mendívil, Laura, Pérez-Zabalza, María, Duwé, Sam, Ordovás, Laura, Pueyo, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694586/
https://www.ncbi.nlm.nih.gov/pubmed/37980568
http://dx.doi.org/10.1016/j.xpro.2023.102730
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author García-Mendívil, Laura
Pérez-Zabalza, María
Duwé, Sam
Ordovás, Laura
Pueyo, Esther
author_facet García-Mendívil, Laura
Pérez-Zabalza, María
Duwé, Sam
Ordovás, Laura
Pueyo, Esther
author_sort García-Mendívil, Laura
collection PubMed
description The procedures used routinely for collagen and lipofuscin evaluation are, in many cases, qualitative, observer dependent, and disregard spatial distribution. Here, we present a protocol for automatic quantification and spatial characterization of collagen and lipofuscin from label-free microscopy images of human ventricular tissues. We describe the steps for sample collection, tissue processing, image acquisition, and quantification of collagen and lipofuscin. This protocol avoids discrepancies between observers and can be adapted to other tissues and species. For complete details on the use and execution of this protocol, please refer to García-Mendívil et al. (2022).(1)
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spelling pubmed-106945862023-12-05 Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy García-Mendívil, Laura Pérez-Zabalza, María Duwé, Sam Ordovás, Laura Pueyo, Esther STAR Protoc Protocol The procedures used routinely for collagen and lipofuscin evaluation are, in many cases, qualitative, observer dependent, and disregard spatial distribution. Here, we present a protocol for automatic quantification and spatial characterization of collagen and lipofuscin from label-free microscopy images of human ventricular tissues. We describe the steps for sample collection, tissue processing, image acquisition, and quantification of collagen and lipofuscin. This protocol avoids discrepancies between observers and can be adapted to other tissues and species. For complete details on the use and execution of this protocol, please refer to García-Mendívil et al. (2022).(1) Elsevier 2023-11-18 /pmc/articles/PMC10694586/ /pubmed/37980568 http://dx.doi.org/10.1016/j.xpro.2023.102730 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
García-Mendívil, Laura
Pérez-Zabalza, María
Duwé, Sam
Ordovás, Laura
Pueyo, Esther
Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title_full Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title_fullStr Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title_full_unstemmed Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title_short Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
title_sort automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694586/
https://www.ncbi.nlm.nih.gov/pubmed/37980568
http://dx.doi.org/10.1016/j.xpro.2023.102730
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