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dc.contributor.authorBedard, Noah
Hagen, Nathan
Gao, Liang
Tkaczyk, Tomasz S.
dc.date.accessioned 2013-08-22T22:18:39Z
dc.date.available 2013-08-22T22:18:39Z
dc.date.issued 2012
dc.identifier.citation Bedard, Noah, Hagen, Nathan, Gao, Liang, et al.. "Image mapping spectrometry: calibration and characterization." Optical Engineering, 51, no. 11 (2012) http://dx.doi.org/10.1117/1.OE.51.11.111711.
dc.identifier.urihttps://hdl.handle.net/1911/71761
dc.description.abstract Image mapping spectrometry (IMS) is a hyperspectral imaging technique that simultaneously captures spatial and spectral information about an object in real-time. We present a new calibration procedure for the IMS as well as the first detailed evaluation of system performance. We correlate optical components and device calibration to performance metrics such as light throughput, scattered light, distortion, spectral image coregistration, and spatial/spectral resolution. Spectral sensitivity and motion artifacts are also evaluated with a dynamic biological experiment. The presented methodology of evaluation is useful in assessment of a variety of hyperspectral and multi-spectral modalities. Results are important to any potential users/ developers of an IMS instrument and to anyone who may wish to compare the IMS to other imaging spectrometers.
dc.language.iso eng
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Society of Photo-Optical Instrumentation Engineers.
dc.title Image mapping spectrometry: calibration and characterization
dc.type Journal article
dc.contributor.funder National Institutes of Health
dc.citation.journalTitle Optical Engineering
dc.subject.keywordhyperspectral imaging
imaging spectrometer
characterization
spectral unmixing
dc.citation.volumeNumber 51
dc.citation.issueNumber 11
dc.contributor.publisher Society of Photo-Optical Instrumentation Engineers
dc.embargo.terms none
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1117/1.OE.51.11.111711
dc.identifier.pmcid PMC3433068
dc.identifier.pmid 22962504
dc.identifier.grantID R01A124319 (National Institutes of Health)
dc.type.publication post-print


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