Direct Zernike Coefficient Prediction and Correction from Aberrated Images using Deep Learning

Optical imaging quality is severely degraded by system and sample induced aberrations. This study demonstrates the application of deep learning to characterise and correct optical aberrations by reconstructing the Zernike coefficients from phase-diverse optical images.