The University of Southampton
University of Southampton Institutional Repository

64 x 64 pixel smart sensor array for laser Dopler blood flow imaging

64 x 64 pixel smart sensor array for laser Dopler blood flow imaging
64 x 64 pixel smart sensor array for laser Dopler blood flow imaging
What is believed to be the first fully integrated two-dimensional complementary metal oxide semiconductor (CMOS) imaging array for laser Doppler blood flow imaging is demonstrated. The sensor has 64×64 pixels and includes both analog and digital on-chip processing electronics. This offers several potential advantages over commercial sensors as the processing is tailored to the signals of interest and the data bottleneck that exists between the sensor and processing electronics is overcome. To obtain a space efficient design over 64×64 pixels means that standard processing electronics used off-chip cannot be implemented. Images of both simulated blood flow responses and a blood flow occlusion test demonstrate the capability.
0146-9592
3060-3062
He, D.
57799d5d-42b7-48f4-b928-89b5393b1ebc
Nguyen, H.C.
12730190-7680-47a8-8bcd-79a2a7d0ddda
Hayes-Gill, B.R.
571a91b5-5c66-44db-ad70-f4bd8e6c9e56
Zhu, Y.
825b29a7-35e8-4f51-a31c-87c71f0a06bb
Crowe, J.A.
62b30792-4992-4bc7-9a50-16aa731f6f15
Clough, G.F.
9f19639e-a929-4976-ac35-259f9011c494
Gill, C.A.
6ad6f7c5-2d6d-453a-89d5-03eb289f55c0
Morgan, S.P.
f51cf4d7-81ab-421d-acdc-697ca896796a
He, D.
57799d5d-42b7-48f4-b928-89b5393b1ebc
Nguyen, H.C.
12730190-7680-47a8-8bcd-79a2a7d0ddda
Hayes-Gill, B.R.
571a91b5-5c66-44db-ad70-f4bd8e6c9e56
Zhu, Y.
825b29a7-35e8-4f51-a31c-87c71f0a06bb
Crowe, J.A.
62b30792-4992-4bc7-9a50-16aa731f6f15
Clough, G.F.
9f19639e-a929-4976-ac35-259f9011c494
Gill, C.A.
6ad6f7c5-2d6d-453a-89d5-03eb289f55c0
Morgan, S.P.
f51cf4d7-81ab-421d-acdc-697ca896796a

He, D., Nguyen, H.C., Hayes-Gill, B.R., Zhu, Y., Crowe, J.A., Clough, G.F., Gill, C.A. and Morgan, S.P. (2012) 64 x 64 pixel smart sensor array for laser Dopler blood flow imaging. Optics Letters, 37 (15), 3060-3062. (doi:10.1364/OL.37.003060).

Record type: Article

Abstract

What is believed to be the first fully integrated two-dimensional complementary metal oxide semiconductor (CMOS) imaging array for laser Doppler blood flow imaging is demonstrated. The sensor has 64×64 pixels and includes both analog and digital on-chip processing electronics. This offers several potential advantages over commercial sensors as the processing is tailored to the signals of interest and the data bottleneck that exists between the sensor and processing electronics is overcome. To obtain a space efficient design over 64×64 pixels means that standard processing electronics used off-chip cannot be implemented. Images of both simulated blood flow responses and a blood flow occlusion test demonstrate the capability.

This record has no associated files available for download.

More information

Published date: 1 August 2012
Organisations: Human Development & Health

Identifiers

Local EPrints ID: 355176
URI: http://eprints.soton.ac.uk/id/eprint/355176
ISSN: 0146-9592
PURE UUID: ca53e856-ff09-433e-b48d-6eb048b49ff3
ORCID for G.F. Clough: ORCID iD orcid.org/0000-0002-6226-8964

Catalogue record

Date deposited: 13 Aug 2013 13:29
Last modified: 15 Mar 2024 02:53

Export record

Altmetrics

Contributors

Author: D. He
Author: H.C. Nguyen
Author: B.R. Hayes-Gill
Author: Y. Zhu
Author: J.A. Crowe
Author: G.F. Clough ORCID iD
Author: C.A. Gill
Author: S.P. Morgan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×