Presentation
19 June 2024 Super-resolution quantitative phase imaging using a generative adversarial network
Lior Luria, Itay Barnea, Simcha K. Mirsky, Natan T. Shaked
Author Affiliations +
Abstract
In this study, we propose a novel approach for enhancing the resolution of quantitative phase images using Generative Adversarial Networks (GANs).
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lior Luria, Itay Barnea, Simcha K. Mirsky, and Natan T. Shaked "Super-resolution quantitative phase imaging using a generative adversarial network", Proc. SPIE PC13011, Data Science for Photonics and Biophotonics, PC1301108 (19 June 2024); https://doi.org/10.1117/12.3016289
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KEYWORDS
Deep learning

Phase imaging

Super resolution

Gallium nitride

Image resolution

Resolution enhancement technologies

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