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dc.contributor.authorAcebes Vindel, Ángel José 
dc.contributor.authorCairos, Carlos
dc.contributor.authorOliva-García, Ricardo
dc.contributor.authorSiverio, Gabriela
dc.contributor.authorTrujillo-Sevilla, Juan Manuel
dc.contributor.authorRodríguez-Ramos, Jos´e Manuel
dc.contributor.otherGrupo de investigación: Mecanismos Moleculares en Neurodegeneración, Instituto de tecnologías Biomédicas (ITB). Grupo propio de la Universidad de La Laguna. IP del grupo: Ángel Acebes. https://portalciencia.ull.es/investigadores/81920/detalle
dc.date.accessioned2024-01-29T21:06:31Z
dc.date.available2024-01-29T21:06:31Z
dc.date.issued2023
dc.identifier.issn
dc.identifier.issn0925-3467
dc.identifier.urihttp://riull.ull.es/xmlui/handle/915/35814
dc.description.abstractThe refractive index (RI) of biological tissues represents a relevant optical property that correlates with intrinsic factors such as dry mass or water content, providing valuable information about tissue composition. First, we review available methods to measure the RI in biological tissues, making special emphasis on quantitative phase imaging (QPI) and its ability to obtain RI maps as well as tri-dimensional projections of transparent samples at diffraction-limited resolution. Second, we propose a simple, general QPI method to estimate the RI of complex materials without prior knowledge of sample thickness. Here we have tested several samples in various immersion media with different refractive indices (RIs) to use the lineal relation between the optical path difference (OPD) and the RI of the medium. Least squares regression operates to simultaneously determine the RI and the thickness with diffraction-limited resolution and nanometric transversal sensitivity. Our findings categorize a set of immersion media covering a good RI range, identify possible error sources and uncover the applicability of the QPI method, paving the way to its use on heterogeneous biological tissuesen
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesOptical Materials , nº 142, 2023
dc.rightsLicencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES
dc.titleRefractive index estimation in biological tissues by quantitative phase imagingen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.optmat.2023.114087
dc.subject.keywordMicroscopyen
dc.subject.keywordQuantitative phase imaging (QPI)en
dc.subject.keywordRefractive indexen
dc.subject.keywordBiological tissuesen


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Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
Except where otherwise noted, this item's license is described as Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)