## New paper selected as Editors’ Pick!

Our new paper in OSA Continuum was selected as Editor’s Pick and is freely available here. Previously, we showed that a glass cannula (a non-imaging element) can effectively be turned into an imaging element via computation (or machine learning). Here, we show that by using two independent cannulae, we can effectively double the field of view of this computational microscope. This is a simple approach to deep-tissue imaging, where we can achieve FOV that is close to the probe diameter (something which is very challenging for alternatives).

## Optics-free camera published in Optica.

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.

## Top download in Optics Letters

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.

## Panel on entrepreneurship, Nov. 4

As part of the Course, Optics for Energy, we are organizing an exciting panel on entrepreneurship moderated by Paul Corson of the Pivot Center. Details are here. Calendar invite download .