Deep learning single-shot ptychography: Algorithm and experiment

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

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	Computational Optical Sensing and Imaging, COSI 2020
Publisher	The Optical Society
ISBN (Electronic)	9781557528209
State	Published - 2020
Externally published	Yes
Event	Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States Duration: 22 Jun 2020 → 26 Jun 2020

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/Territory	United States
City	Virtual, Online
Period	22/06/20 → 26/06/20

Cite this

@inproceedings{e3282d212af444b0bb9ecc4f3a81f8fd,

title = "Deep learning single-shot ptychography: Algorithm and experiment",

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.",

author = "Omri Wengrowicz and Or Peleg and Tom Zahavy and Barry Loevsky and Oren Cohen",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s); null ; Conference date: 22-06-2020 Through 26-06-2020",

year = "2020",

language = "英语",

series = "Optics InfoBase Conference Papers",

publisher = "The Optical Society",

booktitle = "Computational Optical Sensing and Imaging, COSI 2020",

address = "United States",

}

Wengrowicz, O, Peleg, O, Zahavy, T, Loevsky, B & Cohen, O 2020, Deep learning single-shot ptychography: Algorithm and experiment. in Computational Optical Sensing and Imaging, COSI 2020., CF2C.2, Optics InfoBase Conference Papers, The Optical Society, Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020, Virtual, Online, United States, 22/06/20.

TY - GEN

T1 - Deep learning single-shot ptychography

AU - Wengrowicz, Omri

AU - Peleg, Or

AU - Zahavy, Tom

AU - Loevsky, Barry

AU - Cohen, Oren

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85118683915&partnerID=8YFLogxK

M3 - 会议稿件

AN - SCOPUS:85118683915

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2020

PB - The Optical Society

Y2 - 22 June 2020 through 26 June 2020

ER -

Deep learning single-shot ptychography: Algorithm and experiment

Abstract

Publication series

Conference

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