Computational Microscopy

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.

Speaker: Laura Waller, UC Berkeley