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dc.contributorVirginia Techen_US
dc.contributor.authorWang, Geen_US
dc.contributor.authorShen, Haiouen_US
dc.contributor.authorLiu, Y.en_US
dc.contributor.authorCong, A.en_US
dc.contributor.authorCong, W. X.en_US
dc.contributor.authorWang, Y.en_US
dc.contributor.authorDubey, P.en_US
dc.date.accessioned2014-04-04T15:12:14Z
dc.date.available2014-04-04T15:12:14Z
dc.date.issued2008-01-01
dc.identifier.citationGe Wang, Haiou Shen, Ying Liu, Alex Cong, Wenxiang Cong, Yue Wang, and Purnima Dubey, "Digital spectral separation methods and systems for bioluminescence imaging," Opt. Express 16, 1719-1732 (2008). doi: 10.1364/oe.16.001719
dc.identifier.issn1094-4087
dc.identifier.urihttp://hdl.handle.net/10919/46889
dc.description.abstractWe propose a digital spectral separation (DSS) system and methods to extract spectral information optimally from a weak multispectral signal such as in the bioluminescent imaging (BLI) studies. This system utilizes our newly invented spatially-translated spectral-image mixer (SSM), which consists of dichroic beam splitters, a mirror, and a DSS algorithm. The DSS approach overcomes the shortcomings of the data acquisition scheme used for the current BLI systems. Primarily, using our DSS scheme, spectral information will not be filtered out. Accordingly, truly parallel multi-spectral multi-view acquisition is enabled for the first time to minimize experimental time and optimize data quality. This approach also permits recovery of the bioluminescent signal time course, which is useful to study the kinetics of multiple bioluminescent probes using multi-spectral bioluminescence tomography (MSBT).
dc.language.isoen_US
dc.publisherOptical Society of America
dc.subjectOptical tomographyen_US
dc.subjectEvolutionen_US
dc.titleDigital Spectral Separation Methods And Systems For Bioluminescence Imagingen_US
dc.typeArticleen_US
dc.identifier.urlhttp://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-16-3-1719
dc.date.accessed2014-02-24
dc.title.serialOptics Express
dc.identifier.doihttps://doi.org/10.1364/oe.16.001719
dc.type.dcmitypeTexten_US


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