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Using a coded-illumination LED array microscope and a computational imaging approach to data capture and optical system design, we demonstrate efficient and accurate quantitative phase imaging from minimal measurements with learning-optimized illumination design and reconstruction. In addition, we describe how space-time models for non-rigid sample motion can be used to mitigate sample motion blur in multi-frame phase microscopy.
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