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dc.contributor.authorJunaid, S
dc.contributor.authorChaitanya Kumar, S
dc.contributor.authorMathez, M
dc.contributor.authorHermes, M
dc.contributor.authorStone, N
dc.contributor.authorShepherd, N
dc.contributor.authorEbrahim-Zadeh, M
dc.contributor.authorTidemand-Lichtenberg, P
dc.contributor.authorPedersen, C
dc.date.accessioned2019-07-10T11:17:48Z
dc.date.issued2019-05-23
dc.description.abstractIn this work we demonstrate, to the best of our knowledge, a novel wide field-of-view upconversion system, supporting upconversion of monochromatic mid-infrared (mid-IR) images, e.g., for hyperspectral imaging (HSI). An optical parametric oscillator delivering 20 ps pulses tunable in the 2.3–4 μm range acts as a monochromatic mid-IR illumination source. A standard CCD camera, in synchronism with the crystal rotation of the upconversion system, acquires in only 2.5 ms the upconverted mid-IR images containing 64 kpixels, thereby eliminating the need for postprocessing. This approach is generic in nature and constitutes a major simplification in realizing video-frame-rate mid-IR monochromatic imaging. A second part of this paper includes a proof-of-principle study on esophageal tissues samples, from a tissue microarray, in the 3–4 μm wavelength range. The use of mid-IR HSI for investigation of esophageal cancers is particularly promising as it allows for a much faster and possibly more observer-independent workflow than state-of-the-art histology. Comparing histologically stained sections evaluated by a pathologist to images obtained by either Fourier transform IR or upconversion HSI based on machine learning shows great promise for further work pointing towards clinical translation using the presented mid-IR HSI upconversion system.en_GB
dc.description.sponsorshipEuropean Commissionen_GB
dc.description.sponsorshipH2020 Marie Skłodowska-Curie Actionsen_GB
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidadesen_GB
dc.description.sponsorshipGeneralitat de Catalunyaen_GB
dc.description.sponsorshipEuropean Social Funden_GB
dc.identifier.citationVol. 6, Issue 6, pp. 702-708en_GB
dc.identifier.doi10.1364/OPTICA.6.000702
dc.identifier.grantnumber642661en_GB
dc.identifier.grantnumberH2020-MSCA-ITN-2014en_GB
dc.identifier.grantnumberTEC2015-68234-Ren_GB
dc.identifier.grantnumberSEV-2015-0522en_GB
dc.identifier.grantnumberBES2016-079359en_GB
dc.identifier.urihttp://hdl.handle.net/10871/37926
dc.language.isoenen_GB
dc.publisherOptical Society of Americaen_GB
dc.rights© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreementen_GB
dc.subjectHyperspectral imagingen_GB
dc.subjectImage metricsen_GB
dc.subjectImage qualityen_GB
dc.subjectPoint spread functionen_GB
dc.subjectQuantum cascade semiconductor lasersen_GB
dc.subjectStray lighten_GB
dc.titleVideo-rate, mid-infrared hyperspectral upconversion imaging.en_GB
dc.typeArticleen_GB
dc.date.available2019-07-10T11:17:48Z
dc.descriptionThis is the final version. Available from Optical Society of America via the DOI in this recorden_GB
dc.identifier.journalOpticaen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-04-24
exeter.funder::European Commissionen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-05-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-07-10T05:37:38Z
refterms.versionFCDVoR
refterms.dateFOA2019-07-10T11:17:52Z
refterms.panelBen_GB


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