Bioinspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applications

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dc.contributor.authorYork, Timothy
dc.contributor.authorPowell, Samuel B.
dc.contributor.authorGao, Shengkui
dc.contributor.authorKahan, Lindsey
dc.contributor.authorCharanya, Tauseef
dc.contributor.authorSaha, Debajit
dc.contributor.authorRoberts, Nicholas W.
dc.contributor.authorCronin, Thomas W.
dc.contributor.authorMarshall, Justin
dc.contributor.authorAchilefu, Samuel
dc.contributor.authorLake, Spencer P.
dc.contributor.authorRaman, Baranidharan
dc.contributor.authorGruev, Viktor
dc.date.accessioned2019-04-10T15:30:47Z
dc.date.available2019-04-10T15:30:47Z
dc.date.issued2014-08-20
dc.description.abstractIn this paper, we present recent work on bioinspired polarization imaging sensors and their applications in biomedicine. In particular, we focus on three different aspects of these sensors. First, we describe the electro–optical challenges in realizing a bioinspired polarization imager, and in particular, we provide a detailed description of a recent low-power complementary metal–oxide–semiconductor (CMOS) polarization imager. Second, we focus on signal processing algorithms tailored for this new class of bioinspired polarization imaging sensors, such as calibration and interpolation. Third, the emergence of these sensors has enabled rapid progress in characterizing polarization signals and environmental parameters in nature, as well as several biomedical areas, such as label-free optical neural recording, dynamic tissue strength analysis, and early diagnosis of flat cancerous lesions in a murine colorectal tumor model. We highlight results obtained from these three areas and discuss future applications for these sensors.en_US
dc.description.sponsorshipU.S. Air Force Office of Scientific Research; 10.13039/100000001-National Science Foundation; 10.13039/100000002-National Institutes of Health; McDonnell Center for System Neuroscience;en_US
dc.description.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629637/en_US
dc.format.extent20 pagesen_US
dc.genrejournal articles postprintsen_US
dc.identifierdoi:10.13016/m2yb8b-jzo2
dc.identifier.citationTimothy York, Samuel B. Powell, et.al, Bioinspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applications, Proceedings of the IEEE Volume: 102 , Issue: 10 , Oct. 2014 , DOI: 10.1109/JPROC.2014.2342537en_US
dc.identifier.urihttps://doi.org/10.1109/JPROC.2014.2342537
dc.identifier.urihttp://hdl.handle.net/11603/13385
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Biological Sciences Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2014 IEEE
dc.subjectBioinspired circuitsen_US
dc.subjectcalibrationen_US
dc.subjectcomplementary metal–oxide–semiconductor (CMOS) image sensoren_US
dc.subjectcurrent-mode imagingen_US
dc.subjectinterpolationen_US
dc.subjectneural recordingen_US
dc.subjectoptical neural recordingen_US
dc.subjectpolarizationen_US
dc.titleBioinspired Polarization Imaging Sensors: From Circuits and Optics to Signal Processing Algorithms and Biomedical Applicationsen_US
dc.typeTexten_US

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