dc.contributor.author | Gomez-Gaviro, Maria Victoria | |
dc.contributor.author | Sanderson, Daniel | |
dc.contributor.author | Ripoll, Jorge | |
dc.contributor.author | Desco, Manuel | |
dc.date.accessioned | 2021-06-22T08:31:01Z | |
dc.date.available | 2021-06-22T08:31:01Z | |
dc.date.issued | 2020-08-21 | |
dc.identifier.citation | iScience. 2020; 23(8):101432 | es_ES |
dc.identifier.issn | 2589-0042 | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/13172 | |
dc.description.abstract | Three-dimensional (3D) optical imaging techniques can expand our knowledge about physiological and pathological processes that cannot be fully understood with 2D approaches. Standard diagnostic tests frequently are not sufficient to unequivocally determine the presence of a pathological condition. Whole-organ optical imaging requires tissue transparency, which can be achieved by using tissue clearing procedures enabling deeper image acquisition and therefore making possible the analysis of large-scale biological tissue samples. Here, we review currently available clearing agents, methods, and their application in imaging of physiological or pathological conditions in different animal and human organs. We also compare different optical tissue clearing methods discussing their advantages and disadvantages and review the use of different 3D imaging techniques for the visualization and image acquisition of cleared tissues. The use of optical tissue clearing resources for large-scale biological tissues 3D imaging paves the way for future applications in translational and clinical research. | es_ES |
dc.description.sponsorship | This work was supported by Ministerio de Ciencia, Innovacion y Universidades, ISCIII-FIS grants PI18/00462 co-financed by ERDF, European Union (FEDER) Funds from the European Commission, European Union, ‘‘A way of making Europe’’; the CNIC is supported by theMinisterio de Ciencia, Innovacion y Universidades y the Pro CNIC Foundation, Severo Ochoa Center of Excellence (SEV-2015-0505), CIBER de Salud Mental (CIBERSAM), and COST-action CA16124. J.R. acknowledges funding from EU H2020 FET Open project SENSITIVE, ID 801347, and Ministerio de Ciencia, Innovacion y Universidades Grant FIS2016-77892-R | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Cell Press | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Biomedical Applications of Tissue Clearing and Three-Dimensional Imaging in Health and Disease. | es_ES |
dc.type | Artículo | es_ES |
dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.pubmedID | 32805648 | es_ES |
dc.format.volume | 23 | es_ES |
dc.format.number | 8 | es_ES |
dc.format.page | 101432 | es_ES |
dc.identifier.doi | 10.1016/j.isci.2020.101432 | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (España) | |
dc.contributor.funder | Instituto de Salud Carlos III - ISCIII | |
dc.contributor.funder | European Regional Development Fund (ERDF/FEDER) | |
dc.contributor.funder | Fundación ProCNIC | |
dc.contributor.funder | Centro de Investigación Biomedica en Red - CIBER | |
dc.description.peerreviewed | Sí | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.isci.2020.101432 | es_ES |
dc.identifier.journal | iScience | es_ES |
dc.repisalud.orgCNIC | CNIC::Unidades técnicas::Imagen Avanzada | es_ES |
dc.repisalud.institucion | CNIC | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/SEV-2015-0505 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/PI18/00462 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/CA16124 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/801347 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectFIS | info:eu-repo/grantAgreement/ES/FIS2016-77892-R | es_ES |