Speckle contrast imaging allows in vivo imaging of relative blood flow changes. Multiple exposure speckle imaging (MESI) is more accurate than the standard single-exposure method since it allows separating the contribution of the static and moving scatters of the recorded speckle patterns. MESI requires experimental validation on phantoms prior to in vivo experiments to ensure the proper calibration of the system and the robustness of the model. The data analysis relies on the calculation of the speckle contrast for each exposure and a subsequent nonlinear fit to the MESI model to extract the scatterers correlation time and the relative contribution of moving scatters. We have designed two multichannel polydimethylsiloxane chips to study the influence of multiple and static scattering on the accuracy of MESI quantitation. We also propose a method based on standard C++ libraries to implement a computationally efficient analysis of the MESI data. Finally, the system was used to obtain in vivo hemodynamic data on two distinct sensory areas of the mice brain: the barrel cortex and the olfactory bulb.
The morphological and functional changes in cerebral blood vessels network is not well characterized in mice models of obesity. In order to study the hemodynamics of these models at rest and during sensory stimulation, we have developed a multi exposure speckle imaging system. It allows wide field superficial imaging of blood flow of the mice cortex. We have characterized the performances of the system using microfluidic phantoms. The capacity of the technique to retrieve accurate relative flow values was studied as a function of the diameter of vessels and the scatterers concentration. New biological data have been obtained in mice models of obesity (high fat diet mice) at rest and under sensory activation.
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