Adaptive Optic

Adaptive optics (AO) systems correct for distortions in light caused by atmospheric turbulence and other factors, enabling sharper images in telescopes and microscopes. Current research heavily utilizes machine learning, particularly deep learning models like convolutional neural networks and reinforcement learning algorithms (e.g., Proximal Policy Optimization), to improve wavefront control, enhance image processing (e.g., for exoplanet detection and retinal imaging), and even eliminate the need for traditional wavefront sensors. These advancements are significantly impacting fields like astronomy (exoplanet imaging, high-resolution observations), ophthalmology (retinal analysis), and optical communication (satellite-to-ground links), offering improved image quality and efficiency.