BiologyLight: Science & Applications
Experimentally Unsupervised Deconvolution for Light-Sheet Microscopy with Propagation-Invariant Beams
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Discover how a deep-learning approach to deconvolution in light-sheet microscopy, leveraging the physics of imaging systems, achieved impressive results in image contrast! This groundbreaking research, conducted by Philip Wijesinghe, Stella Corsetti, Darren J. X. Chow, Shuzo Sakata, Kylie R. Dunning, and Kishan Dholakia, showcases improvements using generative adversarial networks on various biological samples.
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