Jones Seminar: High-Throughput Computational Microscopy with Dynamic Samples

ZOOM LINK
Meeting ID: 937 4316 0035
Passcode: 411385

Computational imaging jointly designs hardware and algorithms to push beyond the classical limits of imaging, enabling measurement of new quantities (eg 3D, phase, and super-resolution) with simple, inexpensive hardware. In this talk, I show recent advances that push both spatial and temporal throughput for 2D and 3D fluorescence microscopy. First, I will describe a diffractive, multiplexed microscope that uses engineered point spread functions and a multi-sensor array to achieve gigapixel-scale imaging at video rates, enabling micrometer-resolution imaging over centimeter-scale fields of view for dynamic biological systems. Second, I will introduce a neural space-time model that jointly reconstructs images and motion from sequential measurements, eliminating motion artifacts while recovering sample dynamics without training data or priors. Together, these approaches illustrate a shift from static imaging toward high-throughput, dynamic measurement, opening new opportunities for observing complex biological processes across scales.

Hosted by Professor Irene Georgakoudi.

About the Speaker(s)

Laura Waller
Professor of Electrical Engineering and Computer Sciences, UC Berkeley

Laura Waller is the Charles A. Desoer Professor of Electrical Engineering and Computer Sciences at UC Berkeley. After receiving her BS, MEng, and PhD degrees from MIT, she was a postdoctoral researcher and lecturer of physics at Princeton University. She is a Packard Fellow for Science & Engineering, Moore Foundation Data-driven Investigator, OSA Fellow, and Chan-Zuckerberg Biohub Investigator. She has received the Carol D. Soc Distinguished Graduate Mentoring Award, OSA Adolph Lomb Medal, the SPIE Early Career Award, and the Max Planck-Humboldt Medal.

Contact

For more information, contact Amos Johnson at amos.l.johnson@dartmouth.edu .