Soren's work on machine-learning-enabled camera with no optics was recently published in Optica. We showed that a pair of coupled deep neural networks can be trained simultaneously to implicitly learn the physics of imaging, and interpret the raw images for anthropocentric consumption. Since there are no optics, this gives rise to the thinnest possible camera. Paper is freely available here. University of Utah press article is here.
Our collaboration with Prof. Grover Swartzlander (RIT) on the experimental demonstration of diffraction-stabilized lightsails was one of the top downloads (Oct. 2021) in Optics Letters. The paper is freely available here.
Our work is highlighted in a very cool review article in OPN this month here. Interestingly, we showed the first mask-based lensless camera back in 2015 (here), and with no masks (or lenses) only a year later (here).