Hyperspectral-enhanced dark field microscopy for single and collective nanoparticle characterization in biological environments

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• dc.contributor.author Zamora-Perez, Paula
• dc.contributor.author Tsoutsi, Dionysia
• dc.contributor.author Xu, Ruixue
• dc.contributor.author Rivera Gil, Pilar, 1976-
• dc.date.accessioned 2019-05-03T07:53:42Z
• dc.date.available 2019-05-03T07:53:42Z
• dc.date.issued 2018
• dc.description.abstract We review how the hyperspectral dark field analysis gives us quantitative insights into the manner that different nanoscale materials interact with their environment and how this relationship is directly expressed in an optical readout. We engage classification tools to identify dominant spectral signatures within a scene or to qualitatively characterize nanoparticles individually or in populations based on their composition and morphology. Moreover, we follow up the morphological evolution of nanoparticles over time and in different biological environments to better understand and establish a link between the observed nanoparticles' changes and cellular behaviors.
• dc.description.sponsorship DT (FJCI-2014-22398), PZP (BES-2015-075020 and MDM-2014-0370-04), and PRG (RYC-2012-10059, CTQ2013-45433-P[FEDER] and MDM-2014-0370-04) acknowledge the Ministry of Economy, Industry, and Competitiveness (MINECO), while PRG and RX acknowledges the China Scholarship Council (File No.201606220083) for financial support.
• dc.format.mimetype application/pdf
• dc.identifier.citation Zamora-Perez P, Tsoutsi D, Xu R, Rivera Gil P. Hyperspectral-enhanced dark field microscopy for single and collective nanoparticle characterization in biological environments. Materials (Basel). 2018; 11(2). pii: E243. DOI 10.3390/ma11020243
• dc.identifier.doi http://dx.doi.org/10.3390/ma11020243
• dc.identifier.issn 1996-1944
• dc.identifier.uri http://hdl.handle.net/10230/37167
• dc.language.iso eng
• dc.publisher MDPI
• dc.relation.ispartof Materials (Basel). 2018; 11(2). pii: E243
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FJCI-2014-22398
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/RYC-2012-10059
• dc.rights © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Single-particle tracking
• dc.subject.keyword Hyperspectral analysis of nanoparticles evolution
• dc.subject.keyword Protein corona
• dc.subject.keyword Colloidal stability
• dc.subject.keyword Living organisms
• dc.subject.keyword Scattering
• dc.subject.keyword Correlating physicochemical properties with biological responses
• dc.subject.keyword Enhanced dark field imaging
• dc.title Hyperspectral-enhanced dark field microscopy for single and collective nanoparticle characterization in biological environments
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion