Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94350
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | en_US |
dc.creator | Zhao, Q | en_US |
dc.creator | Woo, CM | en_US |
dc.creator | Li, H | en_US |
dc.creator | Zhong, T | en_US |
dc.creator | Yu, Z | en_US |
dc.creator | Lai, P | en_US |
dc.date.accessioned | 2022-08-12T03:04:26Z | - |
dc.date.available | 2022-08-12T03:04:26Z | - |
dc.identifier.issn | 0146-9592 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/94350 | - |
dc.language.iso | en | en_US |
dc.publisher | Optical Society of America | en_US |
dc.rights | Journal©2021 Optical Society of America | en_US |
dc.rights | ©2021 Optica Publishing Group. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. | en_US |
dc.rights | The following publication Qi Zhao, Chi Man Woo, Huanhao Li, Tianting Zhong, Zhipeng Yu, and Puxiang Lai, "Parameter-free optimization algorithm for iterative wavefront shaping," Opt. Lett. 46, 2880-2883 (2021) is available at https://doi.org/10.1364/OL.427215. | en_US |
dc.title | Parameter-free optimization algorithm for iterative wavefront shaping | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2880 | en_US |
dc.identifier.epage | 2883 | en_US |
dc.identifier.volume | 46 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.doi | 10.1364/OL.427215 | en_US |
dcterms.abstract | Optical focusing through scattering media has a significant impact on optical applications in biological tissues. Recently, iterative wavefront shaping (WFS) has been successfully used to focus light through or inside scattering media, and various heuristic algorithms have been introduced to improve the performance. While these results are encouraging, more efforts are needed to tune parameters towards robust and optimum optimization. Moreover, optimal parameters might differ for different scattering samples and experimental conditions. In this Letter, we propose a "smart"parameter-free algorithm by combining a traditional genetic algorithm with a bat algorithm, and the mutation rate can be automatically calculated through real-time feedback. Using this method in iterative WFS, one can achieve robust and optimum performance without a parameter tuning process. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Optics letters, 15 June 2021, v. 46, no. 12, p. 2880-2883 | en_US |
dcterms.isPartOf | Optics letters | en_US |
dcterms.issued | 2021-06-15 | - |
dc.identifier.scopus | 2-s2.0-85107992523 | - |
dc.identifier.pmid | 34129564 | - |
dc.identifier.eissn | 1539-4794 | en_US |
dc.description.validate | 202204 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | BME-0022 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Innovation and Technology Commission; Guangdong Science and Technology Department; National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 52085849 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhao_Parameter-Free_Optimization_Algorithm.pdf | Pre-Published version | 760.79 kB | Adobe PDF | View/Open |
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