dc.contributor.author | Junaid, S | |
dc.contributor.author | Chaitanya Kumar, S | |
dc.contributor.author | Mathez, M | |
dc.contributor.author | Hermes, M | |
dc.contributor.author | Stone, N | |
dc.contributor.author | Shepherd, N | |
dc.contributor.author | Ebrahim-Zadeh, M | |
dc.contributor.author | Tidemand-Lichtenberg, P | |
dc.contributor.author | Pedersen, C | |
dc.date.accessioned | 2019-07-10T11:17:48Z | |
dc.date.issued | 2019-05-23 | |
dc.description.abstract | In 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.sponsorship | European Commission | en_GB |
dc.description.sponsorship | H2020 Marie Skłodowska-Curie Actions | en_GB |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades | en_GB |
dc.description.sponsorship | Generalitat de Catalunya | en_GB |
dc.description.sponsorship | European Social Fund | en_GB |
dc.identifier.citation | Vol. 6, Issue 6, pp. 702-708 | en_GB |
dc.identifier.doi | 10.1364/OPTICA.6.000702 | |
dc.identifier.grantnumber | 642661 | en_GB |
dc.identifier.grantnumber | H2020-MSCA-ITN-2014 | en_GB |
dc.identifier.grantnumber | TEC2015-68234-R | en_GB |
dc.identifier.grantnumber | SEV-2015-0522 | en_GB |
dc.identifier.grantnumber | BES2016-079359 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/37926 | |
dc.language.iso | en | en_GB |
dc.publisher | Optical Society of America | en_GB |
dc.rights | © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement | en_GB |
dc.subject | Hyperspectral imaging | en_GB |
dc.subject | Image metrics | en_GB |
dc.subject | Image quality | en_GB |
dc.subject | Point spread function | en_GB |
dc.subject | Quantum cascade semiconductor lasers | en_GB |
dc.subject | Stray light | en_GB |
dc.title | Video-rate, mid-infrared hyperspectral upconversion imaging. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-07-10T11:17:48Z | |
dc.description | This is the final version. Available from Optical Society of America via the DOI in this record | en_GB |
dc.identifier.journal | Optica | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2019-04-24 | |
exeter.funder | ::European Commission | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-05-23 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-07-10T05:37:38Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-07-10T11:17:52Z | |
refterms.panel | B | en_GB |