Computational Microscopy

Computational imaging involves the joint design of imaging system hardware and software, optimizing the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems that reconstruct images from scattered light.

In this talk, Laura Waller will describe new microscopes that use computational imaging to enable 3D aberration and phase measurement using simple hardware that is easily adoptable combined with advanced image reconstruction algorithms based on large-scale optimization and learning.

Waller is an associate professor of electrical engineering and computer sciences at the University of California, Berkeley. She received B.S., M.Eng. and Ph.D. degrees from the Massachusetts Institute of Technology and was a postdoctoral researcher and lecturer of physics at Princeton University. Waller is a Packard fellow, a Moore Foundation Data-Driven Investigator, a Bakar fellow, an Optical Society (OSA) fellow, American Institute for Medical and Biological Engineering Fellow and a Chan-Zuckerberg investigator. She received the Carol D. Soc Distinguished Graduate Mentoring Award, the OSA Adolph Lomb Medal, the Ted Van Duzer Endowed Professorship, an NSF CAREER Award and an SPIE Early Career Achievement Award.