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Article: Automatic compensation of phase aberrations in digital holographic microscopy based on sparse optimization
Title | Automatic compensation of phase aberrations in digital holographic microscopy based on sparse optimization |
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Authors | |
Keywords | Automatic method Digital holographic microscopy Least squares methods Objective functions Phase aberrations |
Issue Date | 2019 |
Publisher | AIP Publishing: Open Access Journals. The Journal's web site is located at http://scitation.aip.org/content/aip/journal/app |
Citation | APL Photonics, 2019, v. 4 n. 11, p. article no. 110808 How to Cite? |
Abstract | In digital holographic microscopy, phase aberrations, which are usually caused by the imperfections of components and nontelecentric configuration of the optical system, severely affect the visualization and quantitative measurement for phase-contrast imaging. Here, we propose a purely numerical and automatic method to compensate for phase aberrations. Without any manual involvement of selecting a sample-free background, the compensation is cast as a surface fitting problem, in which the aberration surface is approximated by formulating an inverse problem. By adopting the ℓ1-norm as the loss function and by minimizing an objective function, aberrations can be accurately fitted and thus removed numerically. Synthetic and experimental results are demonstrated to verify the efficacy of this method over the least squares method. |
Persistent Identifier | http://hdl.handle.net/10722/288064 |
ISSN | 2023 Impact Factor: 5.4 2023 SCImago Journal Rankings: 1.880 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | REN, Z | - |
dc.contributor.author | Zhao, J | - |
dc.contributor.author | Lam, EY | - |
dc.date.accessioned | 2020-10-05T12:07:20Z | - |
dc.date.available | 2020-10-05T12:07:20Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | APL Photonics, 2019, v. 4 n. 11, p. article no. 110808 | - |
dc.identifier.issn | 2378-0967 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288064 | - |
dc.description.abstract | In digital holographic microscopy, phase aberrations, which are usually caused by the imperfections of components and nontelecentric configuration of the optical system, severely affect the visualization and quantitative measurement for phase-contrast imaging. Here, we propose a purely numerical and automatic method to compensate for phase aberrations. Without any manual involvement of selecting a sample-free background, the compensation is cast as a surface fitting problem, in which the aberration surface is approximated by formulating an inverse problem. By adopting the ℓ1-norm as the loss function and by minimizing an objective function, aberrations can be accurately fitted and thus removed numerically. Synthetic and experimental results are demonstrated to verify the efficacy of this method over the least squares method. | - |
dc.language | eng | - |
dc.publisher | AIP Publishing: Open Access Journals. The Journal's web site is located at http://scitation.aip.org/content/aip/journal/app | - |
dc.relation.ispartof | APL Photonics | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Automatic method | - |
dc.subject | Digital holographic microscopy | - |
dc.subject | Least squares methods | - |
dc.subject | Objective functions | - |
dc.subject | Phase aberrations | - |
dc.title | Automatic compensation of phase aberrations in digital holographic microscopy based on sparse optimization | - |
dc.type | Article | - |
dc.identifier.email | Lam, EY: elam@eee.hku.hk | - |
dc.identifier.authority | Lam, EY=rp00131 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1063/1.5115079 | - |
dc.identifier.scopus | eid_2-s2.0-85075618758 | - |
dc.identifier.hkuros | 314911 | - |
dc.identifier.volume | 4 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | article no. 110808 | - |
dc.identifier.epage | article no. 110808 | - |
dc.identifier.isi | WOS:000519706300009 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2378-0967 | - |