Deep learning single-shot ptychography: Algorithm and experiment

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We develop and explore deep learning single-shot ptychography. The deep learning algorithm, trained using only experimental data and without any model of the system, leads to significantly better reconstructions than the iterative algorithm.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2020
Externally publishedYes
EventComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States
Duration: 22 Jun 202026 Jun 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/TerritoryUnited States
CityVirtual, Online
Period22/06/2026/06/20

Fingerprint

Dive into the research topics of 'Deep learning single-shot ptychography: Algorithm and experiment'. Together they form a unique fingerprint.

Cite this