Deep neural networks in single-shot ptychography

Optics Express
Omri WengrowiczOren Cohen

Abstract

We develop and explore a deep learning based single-shot ptychography reconstruction method. We show that a deep neural network, trained using only experimental data and without any model of the system, leads to reconstructions of natural real-valued images with higher spatial resolution and better resistance to systematic noise than common iterative algorithms.

References

Jul 19, 2008·Science·Pierre ThibaultFranz Pfeiffer
Jun 23, 2009·Ultramicroscopy·Andrew M Maiden, John M Rodenburg
Dec 3, 2016·Optics Express·WenHui XuYiShi Shi
Aug 10, 2017·Optics Express·Pavel SidorenkoOren Cohen
Jan 13, 2018·Optics Letters·Xiaoliang HeJianqiang Zhu
Nov 2, 2018·Optics Letters·Bing Kuan ChenOren Cohen
Sep 13, 2019·Optics Express·Omri WengrowiczOren Cohen
Nov 7, 2019·Optics Express·Minh PhamStanley Osher

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Citations

Dec 17, 2020·Optics Letters·Ting BuYu-Ping Huang

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