Physics-Informed Graph Neural Networks for Frequency-Aware Optical Aberration Correction

ArXi:2512.05683v2 Announce Type: replace Optical aberrations significantly degrade image quality in microscopy, particularly when imaging deeper into samples. These aberrations arise from distortions in the optical wavefront and can be mathematically represented using Zernike polynomials. Existing methods often address only mild aberrations on limited sample types and modalities, typically treating the problem as a black-box mapping without leveraging the underlying optical physics of wavefront distortions.