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Computational Microscopy

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 new microscopes that use computational imaging to enable 3D, super-resolution and phase imaging with simple and inexpensive hardware. Our reconstruction algorithms are based on large-scale nonlinear non-convex optimization with sparsity-based regularizers similar to compressed sensing.

Speaker: Laura Waller, UC Berkeley

Please RSVP with your full name so that badges can be printed. Otherwise, you will have to go to another building to get a badge.


7:30 Snacks and Networking 
8:00 Announcements & Presentation 
Please have photo ID and arrive before 8 due to security



Wednesday, 12/06/17


Karl Anderson

Website: Click to Visit



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IEEE Santa Clara Valley Consumer Electronics

2800 Scott Blvd., Bldg E
Santa Clara, CA 95050

Website: Click to Visit