Hyperspectral imaging of retinal microvascular anatomy

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dc.contributor.authorKashani, Amir H.
dc.contributor.authorWong, Mark
dc.contributor.authorKoulisis, Nicole
dc.contributor.authorChang, Chein-I
dc.contributor.authorMartin, Gabriel
dc.contributor.authorHumayun, Mark S.
dc.date.accessioned2024-05-29T14:38:10Z
dc.date.available2024-05-29T14:38:10Z
dc.date.issued2015-11-22
dc.description.abstractBackground: Hyperspectral image processing has been applied to many aspects of astronomical and earth science research. Furthermore, advances in computed tomographic imaging spectroscopy and diffraction grating design have allowed biological applications for non-invasive tissue analysis. Herein, we describe a hyperspectral computed tomographic imaging spectroscope (HCTIS) that provides high spatial, spectral and temporal resolution ideal for imaging biological tissue in vivo. Methods: We demonstrate proof-of-principle application of the HCTIS by imaging and mapping the microvascular anatomy of the retina of a model organism (rabbit) in vivo. The imaging procedure allows rapid and dense spectral sampling, is non-toxic, non-invasive, and easily adaptable to a commercially available fundus camera system. Results: HCTIS provides highly co-registered temporal, spatial and spectral data with resolution capable of reconstructing the fine vascular tree of the rabbit retina in vivo. Conclusions: We show that HCTIS allows for reliable and reproducible tissue classification and detection using signature discriminant analysis. Future applications of this system may provide promising diagnostic methods for diseases of many tissues.
dc.description.sponsorshipThis work was supported by the National Science Foundation Engineering Research Center for Biomimetic Microelectronic Devices (NSF EEC-0310723), by Reichert Technologies, Inc., and by an unrestricted grant from Research to Prevent Blindness, New York, NY 10022. A. H. Kashani and M. S. Humayun have intellectual property related to the subject matter of this article. G. Martin is an employee of Reichert Technologies, Inc., which has a commercial interest in the subject matter of this article. The other authors have no financial/conflicting interests to disclose.
dc.description.urihttps://www.sciedupress.com/journal/index.php/jbei/article/view/7818
dc.format.extent12 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2wz8o-y4hk
dc.identifier.citationKashani, Amir H., Mark Wong, Nicole Koulisis, Chein-I. Chang, Gabriel Martin, and Mark S. Humayun. “Hyperspectral Imaging of Retinal Microvascular Anatomy.” Journal of Biomedical Engineering and Informatics 2, no. 1 (November 22, 2015): 139. https://doi.org/10.5430/jbei.v2n1p139.
dc.identifier.urihttp://dx.doi.org/10.5430/jbei.v2n1p139
dc.identifier.urihttp://hdl.handle.net/11603/34312
dc.language.isoen_US
dc.publisherSciedu Press
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleHyperspectral imaging of retinal microvascular anatomy
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5450-4891

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