On the use of deep learning for phase recovery

On the use of deep learning for phase recovery

Abstract Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imaging to adaptive optics, PR is essential for reconstructing the refractive index distribution or topography of a...

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Bibliographic Details
Main Authors: Kaiqiang Wang, Li Song, Chutian Wang, Zhenbo Ren, Guangyuan Zhao, Jiazhen Dou, Jianglei Di, George Barbastathis, Renjie Zhou, Jianlin Zhao, Edmund Y. Lam
Format: Article
Language:English
Published: Nature Publishing Group 2024-01-01
Series:Light: Science & Applications
Online Access:https://doi.org/10.1038/s41377-023-01340-x

Internet

https://doi.org/10.1038/s41377-023-01340-x

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