Multiple guide stars optimization in conjugate adaptive optics for deep tissue imaging

摘要

Adaptive optics (AO) has been widely used in optical microscopy to recover high-resolution images in deep tissue. However, in conventional AO systems, the corrected field of view (FOV) of a single guide star is usually quite limited. Here we demonstrate a conjugate AO system based on automatic optimal multiple guide stars selection algorithm to achieve large effective corrected FOV with a small number of guide stars. For a random phase mask as the scattering medium, the effective correction coverage ratio can be increased to similar to 5.09 times than that in a conventional CAO system. For a mouse brain slice with 117 pm thickness, the effective corrected FOV is larger than that of conventional CAO system by a factor of similar to 2.58. Therefore, our method shows potentials in aberration correction with large FOV for deep tissue imaging