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The simulation of statistically accurate time-integrated dynamic speckle patterns using a physics-based model that accounts for spatially varying sample properties is yet to be presented in biomedical optics. In this work, we propose a solution to this important problem based on the Karhunen-Loève expansion of the electric field, and apply our method to the formalisms of both laser speckle contrast imaging and diffuse correlation spectroscopy. We validate our technique against solutions for speckle contrast for different forms of homogeneous field, and also show that our method can readily be extended to cases with spatially varying sample properties.
Edward James,Samuel Powell, andPeter Munro
"Simulation of statistically accurate time-integrated dynamic speckle patterns in biomedical optics", Proc. SPIE PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX, PC1195906 (2 March 2022); https://doi.org/10.1117/12.2603939
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Edward James, Samuel Powell, Peter Munro, "Simulation of statistically accurate time-integrated dynamic speckle patterns in biomedical optics," Proc. SPIE PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX, PC1195906 (2 March 2022); https://doi.org/10.1117/12.2603939