Abstract:
We describe a computational camera that enables single-shot multi-dimensional imaging with simple hardware and scalable software for easy reproducibility. We demonstrate compact hardware and compressed sensing reconstructions for 3D fluorescence measurements with high resolution across a large volume, hyper-spectral imaging, and temporal super-resolution – recovering a video from a single-shot capture. Our inverse algorithms are based on large-scale nonlinear non-convex optimization combined with unrolled neural networks. Applications demonstrated include whole organism bioimaging and neural activity tracking in vivo.
Bio:
Laura Waller is the Charles A. Desoer Professor of Electrical Engineering and Computer Sciences at UC Berkeley. She received B.S., M.Eng. and Ph.D. degrees from the Massachusetts Institute of Technology in 2004, 2005 and 2010. After that, she 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, OSA Fellow, and Chan-Zuckerberg Biohub Investigator. She has received the Carol D. Soc Distinguished Graduate Mentoring Award, OSA Adolph Lomb Medal, the SPIE Early Career Award and the Max Planck-Humboldt Medal.