Aberration correction for multiphoton microscopy using covariance matrix adaptation evolution strategy

Multiphoton microscopy is the enabling tool for biomedical research, but aberrations of biological tissues have limited its imaging performance. Adaptive optics (AO) has been developed to partially overcome aberration restore For indirect AO, algorithm key successful implementation. Here, based on fact that AO an analogy black-box optimization problem, we successfully apply covariance matrix adaptation evolution strategy (CMA-ES) used in latter, multiphoton (MPM). Compared with traditional genetic (GA), our a greater improvement convergence speed and accuracy, which provides possibility realizing real-time dynamic correction deep vivo tissues.