Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Opt Lett. 2020 Jan 15;45(2):431-434. doi: 10.1364/ol.381930.
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.
基于数字光相位共轭（DOPC）的波前整形在通过或在散射介质内部聚焦光方面引起了极大的关注。然而，DOPC 的质量受到系统中复杂且耦合的不完美因素的严重限制。在这封信中，我们首次全面引入全局优化的概念来解决这个问题，据我们所知。我们提出了一种用于 DOPC 技术的自动和智能优化框架，利用粒子群优化（PSO）的全局优化能力。我们在一系列与通过和在散射介质内部聚焦相关的 DOPC 实验中展示了所提出方法的通用性和强大能力。这项新工作可以大大提高 OPC 的质量，并简化高性能 DOPC 系统的开发，这可能为广大科学界在他们的潜在应用中受益于基于 DOPC 的波前整形开辟一条新途径。
