3D Computational Microscopy

Laura Waller

Laura Waller


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Date: January 14, 2016


This talk will describe new computational microscopy methods for high pixel-count 3D images. We describe two setups employing illumination-side and detection-side aperture coding of angle (Fourier) space for capturing 4D phase-space (e.g. light field) datasets with fast acquisition times. Using a multi-slice forward model, we develop efficient 3D reconstruction algorithms for both incoherent and coherent imaging models, with robustness to scattering. Experimentally, we achieve real-time 3D intensity and phase capture with high resolution across a large volume. Such computational approaches to optical microscopy add significant new capabilities to commercial microscopes without significant hardware modification.

Further Information:

Laura Waller is an Assistant Professor at UC Berkeley in the Department of Electrical Engineering and Computer Sciences (EECS) and a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering, QB3 and Applied Sciences & Technology. She was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received B.S., M.Eng., and Ph.D. degrees from the Massachusetts Institute of Technology (MIT) in 2004, 2005, and 2010, respectively. She is a Moore Foundation Data-Driven Investigator, Bakar fellow, NSF CAREER awardee and Packard Fellow.

More Information: http://www.laurawaller.com/


Created: Thursday, January 14th, 2016