Abstract
A computational imaging platform utilizing a physics-incorporated, deep-learned design of binary phase filter and a jointly optimized deconvolution neural network has been reported, achieving high-resolution, high-contrast imaging over extended depth ranges without the need for serial refocusing.
Cite
CITATION STYLE
APA
Zhang, Y. (2023). Deep learning-enhanced microscopy with extended depth-of-field. Light: Science and Applications, 12(1). https://doi.org/10.1038/s41377-023-01323-y
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