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dc.contributor.authorGutiérrez Gutiérrez, José Alberto
dc.contributor.authorPardo Franco, Arturo
dc.contributor.authorReal Peña, Eusebio 
dc.contributor.authorLópez Higuera, José Miguel 
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2019-05-29T17:09:25Z
dc.date.available2019-05-29T17:09:25Z
dc.date.issued2019-04-09
dc.identifier.issn1424-8220
dc.identifier.otherTEC2016-76021-C2-2-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/16287
dc.description.abstractPrototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. This can be achieved by constructing a multiparametric model for the imaging system in question. The article describes a rotating-mirror scanning hyperspectral imaging device, its multiparametric model, as well as design and calibration protocols used to achieve its optimal performance. The main objective of the manuscript is to describe the device and review this imaging modality, while showcasing technical caveats, models and benchmarks, in an attempt to simplify and standardize specifications, as well as to incentivize prototyping similar future designs.es_ES
dc.description.sponsorshipThis research, as well as APC charges, was funded by: CIBER-BBN; MINECO (Ministerio de Economía y Competitividad) and Instituto de Salud Carlos III (ISCIII), grant numbers DTS15/00238, DTS17/00055, and TEC2016-76021-C2-2-R; Instituto de Investigación Sanitaria Valdecilla (IDIVAL), grant number INNVAL16/02; Ministry of Education, Culture and Sports, PhD grant number FPU16/05705.es_ES
dc.format.extent22 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSensors 2019, 19(7), 1692es_ES
dc.subject.otherBiomedical optical imaginges_ES
dc.subject.otherHyperspectral imaginges_ES
dc.subject.otherSystems modelinges_ES
dc.subject.otherSystem implementationes_ES
dc.subject.otherSystem integrationes_ES
dc.subject.otherBenchmark testinges_ES
dc.titleCustom scanning hyperspectral imaging system for biomedical applications: modeling, benchmarking, and specificationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/s19071692
dc.type.versionpublishedVersiones_ES


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.