Bioinspired polarization imaging sensors: from circuits and optics to signal processing algorithms and biomedical applications

York, Timothy, Powell, Samuel B., Gao, Shengkui, Kahan, Lindsey, Charanya, Tauseef, Saha, Debajit, Roberts, Nicholas W., Cronin, Thomas W., Marshall, Justin, Achilefu, Samuel, Lake, Spencer P., Raman, Baranidharan and Gruev, Viktor (2014) Bioinspired polarization imaging sensors: from circuits and optics to signal processing algorithms and biomedical applications. Proceedings of the IEEE, 102 10: 1450-1469. doi:10.1109/JPROC.2014.2342537


Author York, Timothy
Powell, Samuel B.
Gao, Shengkui
Kahan, Lindsey
Charanya, Tauseef
Saha, Debajit
Roberts, Nicholas W.
Cronin, Thomas W.
Marshall, Justin
Achilefu, Samuel
Lake, Spencer P.
Raman, Baranidharan
Gruev, Viktor
Title Bioinspired polarization imaging sensors: from circuits and optics to signal processing algorithms and biomedical applications
Journal name Proceedings of the IEEE   Check publisher's open access policy
ISSN 0018-9219
1558-2256
Publication date 2014-10-01
Year available 2014
Sub-type Article (original research)
DOI 10.1109/JPROC.2014.2342537
Open Access Status PMC
Volume 102
Issue 10
Start page 1450
End page 1469
Total pages 20
Place of publication New York, NY, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Subject 2208 Electrical and Electronic Engineering
Abstract In 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.
Keyword Bioinspired circuits
Calibration
Complementary metal-oxide-semiconductor (CMOS) image sensor
Current-mode imaging
Interpolation
Neural recording
Optical neural recording
Polarization
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID BB/G022917/1
R01 CA171651
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2015 Collection
 
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