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Recognizing three-dimensional phase images with deep learning
[article]
2021
arXiv
pre-print
Optical phase contains key information for biomedical and astronomical imaging. However, it is often obscured by layers of heterogeneous and scattering media, which render optical phase imaging at different depths an utmost challenge. Limited by the memory effect, current methods for phase imaging in strong scattering media are inapplicable to retrieving phases at different depths. To address this challenge, we developed a speckle three-dimensional reconstruction network (STRN) to recognize
arXiv:2107.10584v1
fatcat:zwbzte677rcqnjl3v5rtmd4fqy