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20222026
most citedPhysics-driven universal twin-image removal network for digital in-line holographic microscopy

36 citations · 46 across the 3 of their papers we have counts for

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physics.optics2026

YOSO: single-frame Gerchberg-Saxton phase retrieval with AI-based data augmentation for in-line holography

Julianna Winnik, Adam Walocha, Wojciech Ogonowski +9

We present YOSO (You Only Shot Once), a single-frame phase retrieval framework for digital in-line holographic microscopy (DIHM) in which supervised deep learning is used to numeri…