Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval
Abstract
Ptychography is a popular imaging technique that combines diffractive imaging with scanning microscopy. The technique consists of a coherent beam that is scanned across an object in a series of overlapping positions, leading to reliable and improved reconstructions. Ptychographic microscopes allow for large fields to be imaged at high resolution at the cost of additional computational expense. Herein, we propose a multigrid-based optimization framework to reduce the computational burdens of large-scale ptychographic phase retrieval. Our proposed method exploits the inherent hierarchical structures in ptychography through tailored restriction and prolongation operators for the object and data domains. Our numerical results show that our proposed scheme accelerates the convergence of its underlying solver and outperforms the ptychographical iterative engine, a workhorse in the optics community.
- Authors:
-
- Emory Univ., Atlanta, GA (United States)
- (Wendy) [Argonne National Lab. (ANL), Lemont, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1660755
- Report Number(s):
- P9139-1018
Journal ID: ISSN 1936-4954; 154026
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- SIAM Journal on Imaging Sciences
- Additional Journal Information:
- Journal Volume: 13; Journal Issue: 1; Journal ID: ISSN 1936-4954
- Publisher:
- Society for Industrial and Applied Mathematics
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; coherent diffraction imaging; inverse problems; multigrid optimization; phase retrieval; ptychography
Citation Formats
Fung, Samy Wu, and Di, Zichao. Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval. United States: N. p., 2020.
Web. doi:10.1137/18m1223915.
Fung, Samy Wu, & Di, Zichao. Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval. United States. https://doi.org/10.1137/18m1223915
Fung, Samy Wu, and Di, Zichao. Wed .
"Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval". United States. https://doi.org/10.1137/18m1223915. https://www.osti.gov/servlets/purl/1660755.
@article{osti_1660755,
title = {Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval},
author = {Fung, Samy Wu and Di, Zichao},
abstractNote = {Ptychography is a popular imaging technique that combines diffractive imaging with scanning microscopy. The technique consists of a coherent beam that is scanned across an object in a series of overlapping positions, leading to reliable and improved reconstructions. Ptychographic microscopes allow for large fields to be imaged at high resolution at the cost of additional computational expense. Herein, we propose a multigrid-based optimization framework to reduce the computational burdens of large-scale ptychographic phase retrieval. Our proposed method exploits the inherent hierarchical structures in ptychography through tailored restriction and prolongation operators for the object and data domains. Our numerical results show that our proposed scheme accelerates the convergence of its underlying solver and outperforms the ptychographical iterative engine, a workhorse in the optics community.},
doi = {10.1137/18m1223915},
journal = {SIAM Journal on Imaging Sciences},
number = 1,
volume = 13,
place = {United States},
year = {2020},
month = {2}
}
Web of Science
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