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Hari Shroff wants to harness the power of machine learning, artificial intelligence, and cell biology to advance optical microscopy. Specifically, Shroff and his team want to push the boundaries in fluorescence imaging, which offers the ability to observe biological structure and function with molecular contrast and specificity across spatiotemporal scales. They are also aiming to improve adaptive optics correction of sample-induced aberrations and develop methods to denoise and deblur raw image data in collaboration with machine learning experts. In addition, the team is collaborating on a 4D cell atlas of the worm embryo.