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McKelvey School of Engineering

ESE Seminar: Laura Waller, PhD

Friday, October 9 | 10:00 AM - 11:00 AM

Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems. This talk will describe end-to-end learning for development of new microscopes that use computational imaging to enable 3D fluorescence and phase measurement. Traditional model-based image reconstruction algorithms are based on large-scale nonlinear non-convex optimization; we combine these with unrolled neural networks to learn both the image reconstruction algorithm and the optimized data capture strategy.

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Electrical & Systems Engineering
Speaker Information

Laura Waller, PhD
Associate Professor
Electrical Engineering and Computer Sciences
University of California, Berkeley

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