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Parameter-free optimization algorithm for iterative wavefront shaping

delete2021-06-14
delete23
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OA
AI
Q
Qi Zhao
C
Chi Man Woo
H
Huanhao Li
T
Tianting Zhong
Z
Zhipeng Yu
P
Puxiang Lai *
DOI:10.1364/OL.427215delete
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摘要

摘要

En 中文
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. (C) 2021 Optical Society of America.
Keyword:
LIGHT
MEDIA

期刊

Optics Letters 封面图
Optics Letters
IF:
3.3
论文数:
4.0W
被引数:
8.2W

机构

香
香港理工大學
学者数:
1.5K
论文数: 757
被引数: 1.7W
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