Analyzing the requirements of high-speed camera parameters for enhanced laser speckle sensing of flow dynamics

Anovel method for optimizing fast camera parameters to sense flowdynamics is presented.Awide-field statistic of the temporal auto-correlation intensity function fromsample back-scattered laser light can be obtained fromthe high-end fast cameras that have come on to themarket in recent years.Although these statistics can reveal flowdynamics within different sample regions, these cameras can be very costly.Herewe investigated the impact of several key camera features such as camera frame rate, sensor exposure time, etc, on the output data (auto-correlation decay time and function fitmodels).The postprocessing algorithmsteps are described in detail, followed by the findings fromin-vitro and in-vivo experiments investigating ways to re-leaf the camera parameters.The experimental results define fast-cameraminimumspecification requirements for the correctmonitoring of normal blood flow conditions.These findings thus contribute to a better understanding of the impact of each parameter on speckle statistics and can contribute to customizing cheaper hardware to specific needs without compromising on accuracy.