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Can Laser Speckle Flowmetry be Made a Quantitative Tool?

Description: 
The ultimate objective of laser speckle flowmetry (and a host of specific implementations such as laser speckle contrast analysis, LASCA or LSCA; laser speckle spatial contrast analysis, LSSCA; laser speckle temporal contrast analysis, LSTCA; etc.) is to infer flow velocity from the observed speckle contrast. Despite numerous demonstrations over the past 25 years of such a qualitative relationship, no convincing quantitative relationship has been proven. One reason is a persistent mathematical error that has been propagated by a host of workers; another is a misconception about the proper autocorrelation function for ordered flow. Still another hindrance has been uncertainty in the specific relationship between decorrelation time and local flow velocity. Herein we attempt to dispel some of these errors and misconceptions with the intent of turning laser speckle flowmetry into a quantitative tool. Specifically we review the underlying theory, explore the impact of various analytic models for relating measured intensity fluctuations to scatterer motion, and address some of the practical issues associated with the measurement and subsequent data processing.
Record Format: 
application/pdf
2008-01-01T08:00:00Z
Subject: 
Speckle
Laser Doppler velocimeter
Medical instruments and apparatus
Electrical and Computer Engineering
Type: 
text
Raw Url: 
http://pdxscholar.library.pdx.edu/do/oai/?metadataPrefix=&verb=GetRecord&identifier=oai:pdxscholar.library.pdx.edu:ece_fac-1125
Source: 
Electrical and Computer Engineering Faculty Publications and Presentations
Repository Record Id: 
oai:pdxscholar.library.pdx.edu:ece_fac-1125
SetSpec: 
publication:ece_fac
publication:ece
publication:communities
publication:mcecs
Record Title: 
Can Laser Speckle Flowmetry be Made a Quantitative Tool?
https://pdxscholar.library.pdx.edu/ece_fac/126
info:doi/10.1364/JOSAA.25.002088
https://pdxscholar.library.pdx.edu/context/ece_fac/article/1125/viewcontent/can_laser_speckle.pdf
Database: 
Resource OE Format: 
randomness