We discuss a new approach to laser speckle biomedical imaging with the goal to establish a quantitative link between the measured signal and the local dynamic properties of Brownian motion or blood flow. We demonstrate that the presence of a static component in laser speckle imaging signal can significantly complicate the quantitative interpretation of the imaging data. With Monte-Carlo simulations and model experiments we show that the error in the mean particles velocity extracted using traditional approaches can reach several orders of magnitude. With a proper data treatment on the other side the error can be substantially reduced. We suggest a simple data processing scheme that properly accounts for a static component in the scattered light intensity.
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