Modulate scattered light field with Point Guard Algorithm

Abstract

Speed and quality of wavefront shaping (WFS) are considered to be two major challenges in anti-scattering optical information transmission. Confronted with this, a novel optimization approach, namely Point Guard algorithm (PGA), is proposed based on the movement strategies of Point Guard (PG) in professional basketball association. The PGA manipulates the optical interference by encoding the digital micromirror device (DMD). The performance of the PGA can only be affected by one parameter (boundary value, BV), and the strategy of self-adaptive updating is adopted for this parameter to accelerate the speed of searching optimal pattern. Compared with the most popular WFS method genetic algorithm (GA), the PGA improves the speed and peak-to-background ratio (PBR) of single-point focusing by a factor of 10.49 and 4.05 within 500 iterations. We also accomplish 7-point focusing and form a bright and uniform Z-shape pattern in a short optimization period. Furthermore, it is demonstrated that the PGA can quickly reconstruct the visible image information through the scattering medium. With the ability to uniquely identify its target area, the reconstructed image ensures the secure optical communication. We also experimentally demonstrate that the PGA can parallel reconstruct three images in a short optimization period without obvious cross-talk. This new method has good potential in applications such as optogenetics, optical trapping and optical information transmission in complex environment.