Dr. Kevin Zhou (UC Berkeley): “Computational 3D and 4D imaging at high spatiotemporal throughput”

Speaker: Dr. Kevin Zhou (UC Berkeley)

Title: Computational 3D and 4D imaging at high spatiotemporal throughput

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Abstract: Conventional imaging systems have difficulties scaling to high spatiotemporal throughput, rendering it challenging or impossible to study complex and highly dynamic biological systems. In particular, due to physical limitations of hardware-only systems, it is difficult to develop imaging systems that can capture multidimensional information about dynamic samples at high resolution, wide fields of view, and high frame/volume rates. In this talk, I present several high-throughput computational optical imaging systems from my research that take advantage of parallelized designs and large-scale multidimensional image reconstruction algorithms to achieve spatiotemporal throughputs of several billion pixels or voxels per second. I show that these new imaging capabilities enable high-resolution, high-speed observation of the behaviors of multiple freely moving organisms in parallel, in particular ants, zebrafish, fruit flies, and C. elegans. As I start my lab at the University of Michigan in 2025, I aim to continue pushing the boundaries of computational imaging to achieve higher spatiotemporal throughputs to accelerate scientific discovery in biology and medicine.

Bio:  Kevin C. Zhou is a Schmidt Science Fellow and postdoctoral scholar in Electrical Engineering & Computer Sciences at UC Berkeley. Before that, he received his PhD in Biomedical Engineering and MS in Electrical & Computer Engineering at Duke University, supported by the NSF GRFP, and his BS in Biomedical Engineering at Yale University, where he was supported by the Barry Goldwater Scholarship. Kevin’s interdisciplinary research focuses on developing both the optical instrumentation and machine learning-driven algorithms for scalable, high-throughput computational optical imaging systems to advance discovery in biology and medicine. He will join the Department of Biomedical Engineering at the University of Michigan as an Assistant Professor in 2025.