Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42043
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dc.contributor.authorGarcia-Mendivil, Laura-
dc.contributor.authorPerez-Zabalza, Maria-
dc.contributor.authorDUWE, Sam-
dc.contributor.authorOrdovas, Laura-
dc.contributor.authorPueyo, Esther-
dc.date.accessioned2024-01-05T12:20:01Z-
dc.date.available2024-01-05T12:20:01Z-
dc.date.issued2023-
dc.date.submitted2024-01-05T11:25:37Z-
dc.identifier.citationStar Protocols, 4 (4) (Art N° 102730)-
dc.identifier.urihttp://hdl.handle.net/1942/42043-
dc.description.abstractThe 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 Garci ' a-Mendi ' vil et al. (2022).1-
dc.description.sponsorshipThis work was supported by Agencia Estatal de Investigacio´ n - Ministerio de Ciencia e Innovacio´ n (Spain) (PID2019-105674RB-I00, PID2022-140556OB-I00, TED2021-130459B-I00, and PID2022- 139859OB-I00 funded by MCIN/10.13039//501100011033 and ‘‘ERDF A way of making Europe’’), Gobierno de Arago´ n (LMP94_21 and LMP128_21 and BSICoS group T39_23R), and the European Research Council through G.A. (638284). L.G.-M. was supported by a predoctoral fellowship from the Departamento de Ciencia, Universidad y Sociedad del Conocimiento from the Gobierno de Arago´ n 2016–2020 co-funded by Programa Operativo del Fondo Social Europeo Arago´ n (C150/2016), EMBO Short-Term Fellowships (7710), and Ibercaja-CAI Estancias de Investigacio´ n (IT18/18). The authors would like to acknowledge the Cardiovascular Surgery Department of Miguel Servet University Hospital (Zaragoza, Spain) for providing human left ventricular samples. We also wish to thank the Anatomic Pathology Core Unit of Aragon Health Sciences Institute (IACS) for their contribution to histological processing. The graphical abstract was partly generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 Unported license and Freepik (https://www.freepik.com/free-vector/computer-with-keyboard-mouse-cartoon-style-isolated_ 10004861.htm#query = cartoon%20computer&position = 21&from_view = keyword&track = ais"> Image by brgfx</a> on Freepik).-
dc.language.isoen-
dc.publisherELSEVIER-
dc.rights2023 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).-
dc.subject.otherBiotechnology and bioengineering-
dc.subject.otherComputer sciences-
dc.subject.otherMicroscopy-
dc.titleAutomatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy-
dc.typeJournal Contribution-
dc.identifier.issue4-
dc.identifier.volume4-
local.format.pages14-
local.bibliographicCitation.jcatA1-
dc.description.notesGarcía-Mendívil, L; Pérez-Zabalza, M; Ordovás, L (corresponding author), Univ Zaragoza, Aragon Inst Engn Res, Biomed Signal Interpretat & Computat Simulat Grp, Zaragoza 50018, Spain.; García-Mendívil, L; Pérez-Zabalza, M; Ordovás, L (corresponding author), Inst Invest Sanitaria Aragon IISA, BSICoS, Zaragoza 50018, Spain.; Pérez-Zabalza, M (corresponding author), Def Univ Ctr CUD, Zaragoza 50090, Spain.; Ordovás, L (corresponding author), Fdn Agencia Aragonesa Invest & Desarrollo ARAID, Zaragoza 50018, Spain.-
dc.description.noteslgmendivil@unizar.es; mariapzabalza@unizar.es-
local.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr102730-
dc.identifier.doi10.1016/j.xpro.2023.102730-
dc.identifier.pmid37980568-
dc.identifier.isi001121370700001-
local.provider.typewosris-
local.description.affiliation[Garcia-Mendivil, Laura; Perez-Zabalza, Maria; Ordovas, Laura; Pueyo, Esther] Univ Zaragoza, Aragon Inst Engn Res, Biomed Signal Interpretat & Computat Simulat Grp, Zaragoza 50018, Spain.-
local.description.affiliation[Garcia-Mendivil, Laura; Perez-Zabalza, Maria; Ordovas, Laura; Pueyo, Esther] Inst Invest Sanitaria Aragon IISA, BSICoS, Zaragoza 50018, Spain.-
local.description.affiliation[Perez-Zabalza, Maria] Def Univ Ctr CUD, Zaragoza 50090, Spain.-
local.description.affiliation[Duwe, Sam] Hasselt Univ, Biomed Res Inst, Adv Opt Microscopy Ctr, B-3500 Diepenbeek, Belgium.-
local.description.affiliation[Ordovas, Laura] Fdn Agencia Aragonesa Invest & Desarrollo ARAID, Zaragoza 50018, Spain.-
local.description.affiliation[Pueyo, Esther] Biomed Res Networking Ctr Bioengn Biomat & Nanome, Zaragoza 50018, Spain.-
local.uhasselt.internationalyes-
item.fullcitationGarcia-Mendivil, Laura; Perez-Zabalza, Maria; DUWE, Sam; Ordovas, Laura & Pueyo, Esther (2023) Automatic quantification of myocardial remodeling features in human ventricular tissue from label-free microscopy. In: Star Protocols, 4 (4) (Art N° 102730).-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.contributorGarcia-Mendivil, Laura-
item.contributorPerez-Zabalza, Maria-
item.contributorDUWE, Sam-
item.contributorOrdovas, Laura-
item.contributorPueyo, Esther-
crisitem.journal.issn2666-1667-
Appears in Collections:Research publications
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