Low-photon holographic phase retrieval via a deep decoder neural network

Hannah Lawrence; David A. Barmherzig; Michael Eickenberg; Marylou Gabrie

Low-photon holographic phase retrieval via a deep decoder neural network

Hannah Lawrence
, David A. Barmherzig
, Michael Eickenberg
, Marylou Gabrie

Massachusetts Institute of Technology
Flatiron Institute
Courant Institute of Mathematical Sciences

Research output: Contribution to journal › Conference article › peer-review

Abstract

A deep decoder neural network is applied towards the enhancement of recent algorithms for holographic Coherent Diffraction Imaging (CDI). This method does not require training data, and provides improved imaging given noisy low-photon CDI data.

Original language	English
Article number	JTu5A.19
Journal	Optics InfoBase Conference Papers
Publication status	Published - 1 Jan 2021
Externally published	Yes
Event	Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021 - Virtual, Online, United States Duration: 19 Jul 2021 → 23 Jul 2021

Cite this

@article{724d79e411054bdbb904a1ddafaa6a9b,

title = "Low-photon holographic phase retrieval via a deep decoder neural network",

abstract = "A deep decoder neural network is applied towards the enhancement of recent algorithms for holographic Coherent Diffraction Imaging (CDI). This method does not require training data, and provides improved imaging given noisy low-photon CDI data.",

author = "Hannah Lawrence and Barmherzig, \{David A.\} and Michael Eickenberg and Marylou Gabrie",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

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language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Low-photon holographic phase retrieval via a deep decoder neural network

AU - Lawrence, Hannah

AU - Barmherzig, David A.

AU - Eickenberg, Michael

AU - Gabrie, Marylou

PY - 2021/1/1

Y1 - 2021/1/1

N2 - A deep decoder neural network is applied towards the enhancement of recent algorithms for holographic Coherent Diffraction Imaging (CDI). This method does not require training data, and provides improved imaging given noisy low-photon CDI data.

AB - A deep decoder neural network is applied towards the enhancement of recent algorithms for holographic Coherent Diffraction Imaging (CDI). This method does not require training data, and provides improved imaging given noisy low-photon CDI data.

UR - https://www.scopus.com/pages/publications/85119373769

M3 - Conference article

AN - SCOPUS:85119373769

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JTu5A.19

T2 - Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Low-photon holographic phase retrieval via a deep decoder neural network

Abstract

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