We present a novel approach to speckle contrast optical spectroscopy that utilizes multi-wavelength, multi-distance and multi-exposure time datasets to simultaneously estimate the blood flow and optical properties in the underlying tissue. This approach offers improvements in depth penetration over existing techniques and provides additional information content regarding the hemoglobin concentration and oxygen saturation of the tissue. We demonstrate the accuracy of this approach through computational simulations at source-detector separations of 1~2 cm and compare performance with existing multi-distance and multi-exposure time approaches.
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