Abstract
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.
Original language | English |
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Pages (from-to) | 4765-4768 |
Number of pages | 4 |
Journal | Optics Letters |
Volume | 44 |
Issue number | 19 |
DOIs | |
State | Published - 1 Oct 2019 |