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dc.contributor.authorLippok, Norman
dc.contributor.authorVilliger, Martin
dc.contributor.authorAlbanese, Alexandre
dc.contributor.authorMeijer, Eelco FJ
dc.contributor.authorChung, Kwanghun
dc.contributor.authorPadera, Timothy P
dc.contributor.authorBhatia, Sangeeta N
dc.contributor.authorBouma, Brett E
dc.date.accessioned2021-10-27T20:29:09Z
dc.date.available2021-10-27T20:29:09Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/1721.1/135759
dc.description.abstract© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Owing to their electromagnetic properties, tunability and biocompatibility, gold nanorods are being investigated as multifunctional probes for a range of biomedical applications. However, detection beyond the reach of traditional fluorescence and two-photon approaches and quantitation of their concentration in biological tissue remain challenging tasks in microscopy. Here, we show how the size and aspect ratio that impart gold nanorods with their plasmonic properties also make them a source of entropy. We report on how depolarization can be exploited as a strategy to visualize gold nanorod diffusion and distribution in biologically relevant scenarios ex vivo, in vitro and in vivo. We identify a deterministic relation between depolarization and nanoparticle concentration. As a result, some of the most stringent experimental conditions can be relaxed, and susceptibility to artefacts is reduced, enabling microscopic and macroscopic applications.
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/NPHOTON.2017.128
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.sourcePMC
dc.titleDepolarization signatures map gold nanorods within biological tissue
dc.typeArticle
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentPicower Institute for Learning and Memory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalNature Photonics
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-05-09T16:13:15Z
dspace.orderedauthorsLippok, N; Villiger, M; Albanese, A; Meijer, EFJ; Chung, K; Padera, TP; Bhatia, SN; Bouma, BE
dspace.date.submission2019-05-09T16:13:16Z
mit.journal.volume11
mit.journal.issue9
mit.metadata.statusAuthority Work and Publication Information Needed


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