Conventional microscopy usually has a single function aiming to measure one type of signal, such as fluorescence microscopy or phase microscopy. Here, we develop a new computational hybrid imaging method, based on a multi-slice multiple scattering model, that reconstructs both 3D fluorescence and 3D RI by solving an inverse problem from a single dataset of dozens fluorescence images captured at a single image plane. This multi-functional system not only bridges the gap between fluorescence and RI imaging, but also can digitally correct multiple scattering effects in the fluorescence images by using the phantom structure recovered by the reconstructed 3D RI.
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