dc.contributor.author | Gutiérrez Gutiérrez, José Alberto | |
dc.contributor.author | Pardo Franco, Arturo | |
dc.contributor.author | Real Peña, Eusebio | |
dc.contributor.author | López Higuera, José Miguel | |
dc.contributor.author | Conde Portilla, Olga María | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2019-05-29T17:09:25Z | |
dc.date.available | 2019-05-29T17:09:25Z | |
dc.date.issued | 2019-04-09 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.other | TEC2016-76021-C2-2-R | es_ES |
dc.identifier.uri | http://hdl.handle.net/10902/16287 | |
dc.description.abstract | Prototyping 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.sponsorship | This 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.extent | 22 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_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.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Sensors 2019, 19(7), 1692 | es_ES |
dc.subject.other | Biomedical optical imaging | es_ES |
dc.subject.other | Hyperspectral imaging | es_ES |
dc.subject.other | Systems modeling | es_ES |
dc.subject.other | System implementation | es_ES |
dc.subject.other | System integration | es_ES |
dc.subject.other | Benchmark testing | es_ES |
dc.title | Custom scanning hyperspectral imaging system for biomedical applications: modeling, benchmarking, and specifications | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.3390/s19071692 | |
dc.type.version | publishedVersion | es_ES |