Aberration-free digital holographic phase imaging using the derivative-based principal component analysis
Author:
Affiliation:
1. Hangzhou Dianzi University, School of Automation and Artificial Intelligence, Hangzhou
2. Boston University, Department of Electrical and Computer Engineering, Boston, Massachusetts
Publisher
SPIE-Intl Soc Optical Eng
Subject
Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Quantitative phase image stitching guided by reconstructed intensity images in one-shot double field of view multiplexed digital holographic microscopy;Biomedical Optics Express;2024-05-15
2. Quality improvement to holographic microscopy reconstruction based on Kramers-Kronig relations and phase background fitting;Applied Optics;2024-02-06
3. Wrapped phase aberration compensation using deep learning in digital holographic microscopy;Applied Physics Letters;2023-10-02
4. Phase aberration compensation via a self-supervised sparse constraint network in digital holographic microscopy;Optics and Lasers in Engineering;2023-09
5. Learning phase retrieval without using real data;TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON);2022-11-01
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