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dc.contributor.authorBjorgan, Asgeir
dc.contributor.authorRandeberg, Lise Lyngsnes
dc.date.accessioned2020-08-24T08:30:52Z
dc.date.available2020-08-24T08:30:52Z
dc.date.created2020-08-18T08:22:40Z
dc.date.issued2020
dc.identifier.citationBiomedical Optics Express. 2020, 11 (9), 5070-5091.en_US
dc.identifier.issn2156-7085
dc.identifier.urihttps://hdl.handle.net/11250/2673520
dc.description.abstractDetection of re-epithelialization in wound healing is important, but challenging. Hyperspectral imaging can be used for non-destructive characterization, but efficient techniques are needed to extract and interpret the information. An inverse photon transport model suitable for characterization of re-epithelialization is validated and explored in this study. It exploits scale-invariance to enable fitting of the epidermal skin layer only. Monte Carlo simulations indicate that the fitted layer transmittance and reflectance spectra are unique, and that there exists an infinite number of coupled parameter solutions. The method is used to explain the optical behavior of and detect re-epithelialization in an in vitro wound model.en_US
dc.language.isoengen_US
dc.publisherOsa Publishingen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleExploiting scale-invariance: a top layer targeted inverse model for hyperspectral images of woundsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber5070-5091en_US
dc.source.volume11en_US
dc.source.journalBiomedical Optics Expressen_US
dc.source.issue9en_US
dc.identifier.doi10.1364/BOE.399636
dc.identifier.cristin1823725
dc.description.localcode© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. An OSA-formatted open access journal article PDF may be governed by the OSA Open Access Publishing Agreement signed by the author and any applicable copyright laws. Authors and readers may use, reuse, and build upon the article, or use it for text or data mining without asking prior permission from the publisher or the Author(s), as long as the purpose is non-commercial and appropriate attribution is maintained.en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal