Wavefront shaping (WFS) based on digital optical phase conjugation (DOPC) has gained major interest in focusing light through or inside scattering media. However, the quality of DOPC is greatly limited by imperfections of the system in a complicated and coupled way. In this Letter, we incorporate the concept of global optimization to solve this problem comprehensively for the first time, to the best of our knowledge. An automatic and intelligent optimization framework for DOPC techniques is proposed, leveraging the global optimization ability of particle swarm optimization (PSO). We demonstrate the general and powerful ability of the proposed approach in a series of DOPC-related experiments for focusing through and inside scattering media. This novel work can improve the OPC quality greatly and simplify the development of a high-performance DOPC system, which may open up a new avenue for the general scientific community to benefit from DOPC-based WFS in their potential applications.

中文翻译：

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智能优化的数字光学相位共轭和粒子群优化。

基于数字光相位共轭（DOPC）的波阵面整形（WFS）已引起人们对将光聚焦在散射介质内部或内部的兴趣。但是，DOPC的质量在很大程度上受制于系统缺陷的复杂和耦合方式。在这封信中，我们结合了全局优化的概念，以我们所知，这是第一次全面解决此问题。提出了利用粒子群算法（PSO）的全局优化能力的DOPC技术自动智能优化框架。我们在一系列与DOPC相关的实验中证明了该方法的一般性和强大功能，这些实验可用于通过和在散射介质内部聚焦。