Ideal optical imaging relies upon the high-quality focusing of excitation light and accurate detection of the emission light from the fluorescent sample. However, both the optics in the microscope and the biological samples being investigated can introduce aberrations, thus causing degradation in resolution, loss of fluorescent photons, and deterioration of signal-to-background-ratio (SBR), etc. Moreover, microscopes with high numerical apertures (NA), especially the super-resolution microscopy, are more sensitive to aberrations, because the high-NA objectives are more susceptible to high-order aberrations. To detect and correct these optical aberrations, a large number of adaptive optics (AO) technologies have been explored in the last two decades. Conventional AO leverages specific devices, such as the Shack-Hartmann wavefront sensor to measure and correct optical aberrations, then utilized wavefront corrective devices such as spatial light modulators (SLMs) to compensate for the measured aberrations by reshaping the wavefronts. However, conventional AO complicates the optics, imaging procedures, and computation, resulting in many limitations in the actual imaging process.