Deep tissue imaging in the multiple scattering regime remains at the frontier of fluorescence microscopy. Speckle correlation imaging (SCI) can computationally uncover objects hidden behind a scattering layer, but has only been demonstrated with scattered laser illumination and in geometries where the scatterer is in the far field of the target object. Here, SCI is extended to imaging a planar fluorescent signal at the back surface of a 500-μm-thick slice of mouse brain. The object is reconstructed from a single snapshot through phase retrieval using a proximal algorithm that easily incorporates image priors. Simulations and experiments demonstrate improved image recovery with this approach compared to the conventional SCI algorithm.
Keywords: computational imaging; deep tissue imaging; fluorescence microscopy; phase retrieval; speckle correlation.
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