Determination of inclusion depth in ex vivo animal tissues using surface enhanced deep Raman spectroscopy
dc.contributor.author | Mosca, S | |
dc.contributor.author | Dey, P | |
dc.contributor.author | Tabish, T | |
dc.contributor.author | Palombo, F | |
dc.contributor.author | Stone, N | |
dc.contributor.author | Matousek, P | |
dc.date.accessioned | 2019-10-04T09:33:38Z | |
dc.date.issued | 2019-10-08 | |
dc.description.abstract | This work presents recent developments in spatially offset (SO) and transmission Raman spectroscopy (TRS) for noninvasive detection and depth prediction of a single SERS inclusion located deep inside ex-vivo biological tissues. The concept exploits the differential attenuation of Raman bands brought about by their different absorption due to tissue constituents enabling to predict the inclusion depth. Four different calibration models are tested and evaluated to predict the depth of surface enhanced Raman scattering labelled nanoparticles, within an up to 40 mm slab of porcine tissue. An external measurement carried out in transmission mode, with a noninvasively built model on the analysed sample, is shown to be insensitive to variations of the overall thickness of the tissue yielding an average root mean square error of prediction of 6.7%. The results pave the way for future non-invasive deep Raman spectroscopy in-vivo enabling to localize cancer biomarkers for an early diagnosis of multiple diseases. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.identifier.citation | Article e201960092 | en_GB |
dc.identifier.doi | 10.1002/jbio.201960092 | |
dc.identifier.grantnumber | EP/R020965/1. | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/39037 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley-VCH Verlag | en_GB |
dc.rights | © 2019 Science and Technology Facilities Council. Journal of Biophotonics published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | |
dc.subject | Deep Raman spectroscopy | en_GB |
dc.subject | SESORS | en_GB |
dc.subject | non-invasive detection | en_GB |
dc.subject | biological ex vivo tissues | en_GB |
dc.title | Determination of inclusion depth in ex vivo animal tissues using surface enhanced deep Raman spectroscopy | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-10-04T09:33:38Z | |
dc.identifier.issn | 1864-063X | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.journal | Journal of Biophotonics | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-10-03 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-10-03 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-10-03T20:48:56Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-10-22T14:44:55Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2019 Science and Technology Facilities Council. Journal of Biophotonics published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.