Science Alert  December 4, 2021 Although metasurface optics offer a path to ultra-small imagers, existing methods have achieved image quality far worse than bulky refractive alternatives because of aberrations at large apertures and low f-numbers. A team of researchers in the US (Princeton University, Washington University) has introduced a neural nano-optics imager. They devised a fully differentiable learning framework that learns a metasurface physical structure in conjunction with a neural feature-based image reconstruction algorithm achieving an order of magnitude lower reconstruction error than existing approaches. They experimentally validated the results. The nano-optic imager combines the widest field-of-view for full-color metasurface […]