Journal
OPTICS LETTERS
Volume 44, Issue 19, Pages 4765-4768Publisher
Optica Publishing Group
DOI: 10.1364/OL.44.004765
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Funding
- National Natural Science Foundation of China (NSFC) [61927810]
- NSAF Joint Fund [U1730137]
- Fundamental Research Funds for the Central Universities [3102019ghxm018]
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In this Letter, for the first time, to the best of our knowledge, we propose a digital holographic reconstruction method with a one-to-two deep learning framework (Y-Net). Perfectly fitting the holographic reconstruction process, the Y-Net can simultaneously reconstruct intensity and phase information from a single digital hologram. As a result, this compact network with reduced parameters brings higher performance than typical network variants. The experimental results of the mouse phagocytes demonstrate the advantages of the proposed Y-Net. (C) 2019 Optical Society of America
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