Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94078
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | en_US |
dc.contributor | Department of Biomedical Engineering | - |
dc.contributor | Mainland Development Office | - |
dc.contributor | Photonics Research Institute | - |
dc.creator | Woo, CM | en_US |
dc.creator | Zhao, Q | en_US |
dc.creator | Zhong, T | en_US |
dc.creator | Li, H | en_US |
dc.creator | Yu, Z | en_US |
dc.creator | Lai, P | en_US |
dc.date.accessioned | 2022-08-11T01:06:54Z | - |
dc.date.available | 2022-08-11T01:06:54Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/94078 | - |
dc.language.iso | en | en_US |
dc.publisher | AIP Publishing | en_US |
dc.rights | © 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Chi Man Woo, Qi Zhao, Tianting Zhong, Huanhao Li, Zhipeng Yu, and Puxiang Lai , "Optimal efficiency of focusing diffused light through scattering media with iterative wavefront shaping", APL Photonics 7, 046109 (2022) is available at https://dx.doi.org/10.1063/5.0085943. | en_US |
dc.title | Optimal efficiency of focusing diffused light through scattering media with iterative wavefront shaping | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 7 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.doi | 10.1063/5.0085943 | en_US |
dcterms.abstract | Iterative wavefront shaping is a powerful tool to overcome optical scattering and enable the focusing of diffusive light, which has exciting potential in many applications that desire localized light delivery at depths in tissue-like complex media. Unsatisfactory performance and efficiency, however, have been a long-standing problem, and the large discrepancy between theoretical and experimental results has hindered the wide applications of the technology. Currently, most algorithms guiding the iterative search for optimum phase compensation rely heavily on randomness to achieve solution diversity. It is similar to black-box optimization, in which the mechanism for arriving at a good solution is unclear. The lack of clear guidance on the new solution generation process considerably affects the efficiency of optimization. Therefore, we propose a probability-based iterative algorithm that combines the genetic algorithm and ant colony optimization to develop new solutions based on a probability map. Thanks to the clearer guidance provided by the probability map and the reduced involvement of randomness, we can obtain optimization results with optimal efficiency for single and multiple focuses behind scattering media. In addition, with the proposed algorithm, we also demonstrate higher adaptability in an unstable scattering environment and more spatially uniform optical focusing in the field of view. This study advances the state-of-the-art in the practice of iterative wavefront shaping. More importantly, the significant improvement in optimization efficiency and adaptability, if further engineered, can potentially inspire or open up wide applications that desire localized and enhanced optical delivery in situ. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | APL photonics, Apr. 2022, v. 7, no. 4, 046109 | en_US |
dcterms.isPartOf | APL photonics | en_US |
dcterms.issued | 2022-04 | - |
dc.identifier.scopus | 2-s2.0-85129743194 | - |
dc.identifier.eissn | 2378-0967 | en_US |
dc.identifier.artn | 046109 | en_US |
dc.description.validate | 202208 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a1563 | - |
dc.identifier.SubFormID | 45431 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Others: National Natural Science Foundation of ChinaGuangdong Science and Technology CommissionHong Kong Innovation and Technology Commission | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
5.0085943.pdf | 7.95 MB | Adobe PDF | View/Open |
Page views
69
Last Week
2
2
Last month
Citations as of Sep 8, 2024
Downloads
57
Citations as of Sep 8, 2024
SCOPUSTM
Citations
33
Citations as of Sep 19, 2024
WEB OF SCIENCETM
Citations
23
Citations as of Jun 20, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.