Computational Imaging for 3D Microscopy
Computational imaging involves the joint design of imaging system hardware and software, optimizing system design across the entire pipeline from acquisition to reconstruction. This talk will describe new methods for computational microscopy with coded illumination and detection using simple hardware modifications combined with efficient computational algorithms. We demonstrate multi-modal, phase and 3D imaging, with fast acquisition and Gigapixel-scale image reconstruction of dynamic biological samples.
Laura Waller is the Ted Van Duzer Endowed Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, a Senior Fellow at the Berkeley Institute of Data Science, and affiliate in Bioengineering and Applied Sciences & Technology. 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 recipient of the Moore Foundation Data-Driven Investigator Award, Bakar Fellowship, Carol D. Soc Distinguished Graduate Mentoring Award, Agilent Early Career Professor Award Finalist, NSF CAREER Award, Chan-Zuckerberg Biohub Investigator Award and Packard Fellowship for Science and Engineering.