Boston Chapter of the IEEE Photonics Society

Abstract:  We describe a computational microscope that encodes 3D information into a single 2D sensor measurement, then exploits sparsity or low-rank priors to reconstruct the volume with diffraction-limited resolution across a large volume.  Our system uses simple hardware and scalable software for easy reproducibility and adoption. The inverse algorithm is based on large-scale nonlinear optimization combined with unrolled neural networks, in order to leverage the known physical model of the setup, while learning unknown parameters. We demonstrate whole organism bioimaging and neural activity tracking in vivo.

Biography:  Laura Waller is the Ted Van Duzer Associate Professor of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, a Senior Fellow at the Berkeley Institute of Data Science, and affiliated with the UCB/UCSF Bioengineering Graduate Group. She received B.S., M.Eng. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT) in 2004, 2005 and 2010, and was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012. She is a Packard Fellow for Science & Engineering, Moore Foundation Data-driven Investigator, Bakar Fellow, OSA Fellow and Chan-Zuckerberg Biohub Investigator. She has recieved the Carol D. Soc Distinguished Graduate Mentoring Award, Agilent Early Career Profeessor Award (Finalist), NSF CAREER Award and the SPIE Early Career Achievement Award.

Location:  Online Seminar