Laser Speckle Modeling and Simulation for Biophysical Dynamics: Influence of Sample Statistics

Kosar Khaksari
Department of Biomedical Engineering, Tufts University, Medford, CT, ‎USA

Sean J. Kirkpatrick (Login required)
Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA


Paper #3258 received 10 Nov 2017; accepted for publication 25 Dec 2017; published online 31 Dec 2017. [Saratov Fall Meeting 2017 Special Issue].

DOI: 10.18287/JBPE17.03.040302

Abstract

Laser speckle is a statistical phenomenon and should be treated as such when establishing experimental parameters for using laser speckle techniques to infer information about the dynamics of a coherently illuminated medium, such as biological tissue. Herein, we demonstrate that when sampling (imaging) speckle patterns, it is critical that the sampled speckle patterns are unbiased estimators of the underlying random speckle field. If this condition is not met, the quality of the results will be compromised. Specifically, this study examines the effects of first and second order spatial statistics of speckle intensity images on laser speckle contrast imaging results. Finally, it is recommended that when using speckle techniques such as laser speckle contrast imaging, investigators should examine the first and second order spatial statistics of a speckle image prior to collecting actual data. If this examination reveals that the imaged speckle intensity image is not an unbiased estimator of the underlying random speckle field, then adjustments should be made to ensure that the images taken are unbiased estimators of the true speckle field.

Keywords

Laser speckle; speckle contrast;sample statistic; speckle imagings

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