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Thursday, June 22, 2017
This event is hosted/sponsored by IEEE SPS Chapter.
Prof. Laura Waller, UC Berkeley
AMD Commons Auditorium, 991 Stewart Dr., Sunnyvale, CA (map or Google Maps)
Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. This talk will describe new methods for computational microscopy with coded illumination, based on a simple and inexpensive hardware modification of a commercial microscope, combined with advanced image reconstruction algorithms. In conventional microscopes and cameras, one must trade off field-of-view and resolution. Our methods allow both simultaneously by using multiple images, resulting in Gigapixel-scale reconstructions with resolution beyond the diffraction limit of the system. Our algorithms are based on large-scale nonlinear non-convex optimization procedures for phase retrieval, with appropriate priors.
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 Profeessor Award Finalist, NSF CAREER Award, Chan-Zuckerberg Biohub Investigator Award and Packard Fellowship for Science and Engineering.
Slides (PDF) [visit laurawaller.com for related publications and projects]
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