Adaptive optical focusing through perturbed scattering media with a dynamic mutation algorithm

Optical imaging through or inside scattering media, such as multimode fiber and biological tissues, has a significant impact in biomedicine yet is considered challenging due to the strong nature of light. In past decade, promising progress been made field, largely benefiting from invention iterative optical wavefront shaping, with which deep-tissue high-resolution focusing hence becomes possible. Most reported algorithms can overcome small perturbations on noise level but fail effectively adapt beyond level, e.g., sudden perturbations. Reoptimizations are usually needed for decorrelation medium since these heavily rely optimization performance previous iterations. Such ineffectiveness probably absence metric that gauge deviation instant optimum compensation based concurrently measured focusing. this study, square rule binary-amplitude modulation, directly relating error optimized wavefront, theoretically proved experimentally validated. With simple rule, it feasible quantify how many pixels spatial light modulator incorrectly modulate status whole system. As an example application, we propose novel algorithm, dynamic mutation high adaptability against by probing far gone toward optimal performance. The diminished focus scattered be recovered when cause drop performance, no existing achieve their inherent dependence optimizations. further improvement, new algorithm may boost inspire applications, stimulation, instable environments.