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  5. A novel approach to overcome movement artifact when using a laser speckle contrast imaging system for alternating speeds of blood microcirculation
 
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A novel approach to overcome movement artifact when using a laser speckle contrast imaging system for alternating speeds of blood microcirculation
File(s)
jove-protocol-56415-a-novel-approach-to-overcome-movement-artifact-when-using-laser.pdf (1.63 MB)
Published version
Author(s)
Bahadori, Shayan
Immins, Tikki
Wainwright, Thomas W
Type
Journal Article
Abstract
The laser speckle contrast imager (LSCI) provides a powerful yet simple technique for measuring microcirculatory blood flow. Ideal for blood dynamic responses, the LSCI is used in the same way as a conventional Laser Doppler Imager (LDI). However, with a maximum skin depth of approximately 1 mm, the LSCI is designed to focus on mainly superficial blood flow. It is used to measure skin surface areas of up to 15 cm x 20 cm. The new technique introduced in this paper accounts for alternating speeds of microcirculations; i.e. both slow and fast flow flux measurement using the LSCI. The novel technique also overcomes LSCI's biggest shortcoming, which is high sensitivity to artifact movement. An adhesive opaque patch (AOP) is introduced for satisfactory recording of microcirculatory blood flow, by subtracting the LSCI signal from the AOP from the laser speckle skin signal. The optimal setting is also defined because the LSCI is most powerful when flux changes are measured relative to a reference baseline, with blood microcirculatory flux expressed as a percentage change from the baseline. These changes may be used for analyzing the status of the blood flow system.
Date Issued
2017-08-30
Date Acceptance
2017-08-01
Citation
Journal of Visualized Experiments, 2017, 2017 (126), pp.1-6
URI
http://hdl.handle.net/10044/1/106703
URL
http://dx.doi.org/10.3791/56415
DOI
https://www.dx.doi.org/10.3791/56415
ISSN
1940-087X
Publisher
MyJove Corporation
Start Page
1
End Page
6
Journal / Book Title
Journal of Visualized Experiments
Volume
2017
Issue
126
Copyright Statement
Copyright © 2017 Creative Commons Attribution 3.0 License
License URL
https://creativecommons.org/licenses/by/3.0/
Identifier
http://dx.doi.org/10.3791/56415
Publication Status
Published
Date Publish Online
2017-08-30
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