Parameter-free optimization algorithm for iterative wavefront shaping

Qi Zhao, Chi Man Woo, Huanhao Li, Tianting Zhong, Zhipeng Yu (Corresponding Author), Puxiang Lai (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2880-2883
Number of pages4
JournalOptics Letters
Issue number12
Publication statusPublished - 15 Jun 2021

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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