Direct retrieval of Zernike-based pupil functions using integrated diffractive deep neural networks

Abstract

Retrieving the pupil phase of a optical beam path is a central problem for imaging systems across scales. The authors use Diffractive Neural Networks to directly extract pupil phase information with a single, compact optoelectronic device.