Deep neural networks in single-shot ptychography

Omri Wengrowicz, Or Peleg, Tom Zahavy, Barry Loevsky, Oren Cohen

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish
Pages (from-to)17511-17520
Number of pages10
JournalOptics Express
Issue number12
StatePublished - 8 Jun 2020
Externally publishedYes


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