Contrast-transfer-function phase retrieval based on compressed sensing
(2017) In Optics Letters 42(6). p.1133-1136- Abstract
We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy. Experiments on simulated and real datasets show that ADMM-CTF yields reconstructions with a substantial lower amount of artifacts and enhanced signal-to-noise ratio compared to the standard analytical inversion.
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https://lup.lub.lu.se/record/9f3bf562-2422-4e45-95ce-999a9963d3cf
- author
- Villanueva-Perez, Pablo LU ; Arcadu, Filippo ; Cloetens, Peter and Stampanoni, Marco
- publishing date
- 2017-03-15
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Optics Letters
- volume
- 42
- issue
- 6
- pages
- 4 pages
- publisher
- Optical Society of America
- external identifiers
-
- scopus:85015336461
- ISSN
- 0146-9592
- DOI
- 10.1364/OL.42.001133
- language
- English
- LU publication?
- no
- id
- 9f3bf562-2422-4e45-95ce-999a9963d3cf
- date added to LUP
- 2019-03-29 16:47:54
- date last changed
- 2022-04-25 22:19:26
@article{9f3bf562-2422-4e45-95ce-999a9963d3cf, abstract = {{<p>We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy. Experiments on simulated and real datasets show that ADMM-CTF yields reconstructions with a substantial lower amount of artifacts and enhanced signal-to-noise ratio compared to the standard analytical inversion.</p>}}, author = {{Villanueva-Perez, Pablo and Arcadu, Filippo and Cloetens, Peter and Stampanoni, Marco}}, issn = {{0146-9592}}, language = {{eng}}, month = {{03}}, number = {{6}}, pages = {{1133--1136}}, publisher = {{Optical Society of America}}, series = {{Optics Letters}}, title = {{Contrast-transfer-function phase retrieval based on compressed sensing}}, url = {{http://dx.doi.org/10.1364/OL.42.001133}}, doi = {{10.1364/OL.42.001133}}, volume = {{42}}, year = {{2017}}, }