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dc.contributor.authorEscobet-Montalbán, Adrià
dc.contributor.authorWijesinghe, Philip
dc.contributor.authorChen, Mingzhou
dc.contributor.authorDholakia, Kishan
dc.contributor.editorPeriasamy, Ammasi
dc.contributor.editorSo, Peter T. C.
dc.contributor.editorKönig, Karsten
dc.date.accessioned2019-02-28T16:57:27Z
dc.date.available2019-02-28T16:57:27Z
dc.date.issued2019-02-22
dc.identifier.citationEscobet-Montalbán , A , Wijesinghe , P , Chen , M & Dholakia , K 2019 , Wide-field multiphoton imaging with TRAFIX . in A Periasamy , P T C So & K König (eds) , Multiphoton Microscopy in the Biomedical Sciences XIX . , 10882G , Proceedings of SPIE , vol. 10882 , Society of Photo-Optical Instrumentation Engineers , pp. 49 , Multiphoton Microscopy in the Biomedical Sciences XIX , San Francisco , United States , 2/02/19 . https://doi.org/10.1117/12.2508373en
dc.identifier.citationconferenceen
dc.identifier.issn0277-786X
dc.identifier.otherPURE: 257965114
dc.identifier.otherPURE UUID: 56c25427-2618-4504-80ca-1bb0f5e0247b
dc.identifier.othercrossref: 10.1117/12.2508373
dc.identifier.otherORCID: /0000-0002-6190-5167/work/54819231
dc.identifier.otherORCID: /0000-0002-8378-7261/work/54819421
dc.identifier.otherScopus: 85067803732
dc.identifier.otherWOS: 000482180400023
dc.identifier.urihttp://hdl.handle.net/10023/17173
dc.descriptionThis work is supported by the UK Engineering and Physical Sciences Research Council for funding through grants EP/P030017/1 and EP/M000869/1, and has received funding from the European Union's Horizon 2020 Programme through the project Advanced BiomEdical OPTICAL Imaging and Data Analysis (BE-OPTICAL) under grant agreement no. 675512.en
dc.description.abstractOptical approaches have broadened their impact in recent years with innovations in both wide-field and super-resolution imaging, which now underpin biological and medical sciences. Whilst these advances have been remarkable, to date, the ongoing challenge in optical imaging is to penetrate deeper. TRAFIX is an innovative approach that combines temporal focusing illumination with single-pixel detection to obtain wide-field multiphoton images of fluorescent microscopic samples deep through scattering media without correction. It has been shown that it can image through biological samples such as rat brain or human colon tissue up to a depth of seven scattering mean-free-path lengths. Comparisons of TRAFIX with standard point-scanning two-photon microscopy show that the former can yield a five-fold higher signal-to-background ratio while signifcantly reducing photo bleaching of the specimen. Here, we show the first preliminary demonstration of TRAFIX with three-photon excitation imaging dielectric beads. We discuss the advantages of the TRAFIX approach combined with compressive sensing for biomedicine.
dc.format.extent9
dc.language.isoeng
dc.publisherSociety of Photo-Optical Instrumentation Engineers
dc.relation.ispartofMultiphoton Microscopy in the Biomedical Sciences XIXen
dc.relation.ispartofseriesProceedings of SPIEen
dc.rights© 2019, SPIE. This work has been made available online in accordance with the publisher's policies. This is the final published version of the work, which was originally published at https://doi.org/10.1117/12.2508373en
dc.subjectTemporal focusingen
dc.subjectSingle-pixel imagingen
dc.subjectScattering mediaen
dc.subjectMultiphoton microscopyen
dc.subjectThree-photon compressive sensingen
dc.subjectQC Physicsen
dc.subjectQH301 Biologyen
dc.subjectR Medicineen
dc.subjectTK Electrical engineering. Electronics Nuclear engineeringen
dc.subjectNDASen
dc.subject.lccQCen
dc.subject.lccQH301en
dc.subject.lccRen
dc.subject.lccTKen
dc.titleWide-field multiphoton imaging with TRAFIXen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews.Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews.Centre for Biophotonicsen
dc.identifier.doihttps://doi.org/10.1117/12.2508373


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