Aberration-aware 3D localization microscopy via self-supervised neural-physics learning

Fu and colleagues present LUNAR, a self-supervised neural-physics method that reconstructs 3D molecular positions and optical aberrations directly from raw microscopy data, enabling calibration-free super-resolution imaging in complex biological samples.