Speckle contrast optical spectroscopy (SCOS) is an emerging camera-based technique that can measure human cerebral blood flow (CBF) noninvasively with high signal-to-noise ratio (SNR). A noise correction procedure has previously been developed to improve SCOS measurement accuracy, which requires precise characterization of camera properties. Here, we provide guidance on choosing and characterizing a camera for SCOS, considering factors such as linearity, read noise, and gain. We then validate a noise-corrected SCOS measurement of flow changes in a liquid phantom against diffuse correlation spectroscopy (DCS).
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