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Diffractive Optical Network Supports Quantitative Phase Imaging

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A team of researchers led by Aydogan Ozcan from the Electrical and Computer Engineering Department and California Nanosystems Institute at UCLA has developed a diffractive optical network to replace digital image reconstruction algorithms used in quantitative phase imaging (QPI) systems. The technology uses a series of passive optical surfaces that were spatially engineered with deep learning. Unlike conventional QPI systems, where phase recovery is performed on a computer using an intensity measurement or a hologram, a diffractive QPI network directly processes the optical waves...Read full article

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