A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how the spatial architecture of cells is linked to their physiological function. Unfortunately, conventional technologies such as fluorescence-activated cell sorting and the Coulter counter are limited in uncovering these relations. In this talk, I introduce Intelligent Image-Activated Cell Sorting, a technology that performs real-time, intelligent, image-based sorting of cells at an unprecedented rate of >1000 cells per second (Nitta et al, Cell 2018; Nitta et al, Nat. Commun. 2020; Mikami et al, Nat. Commun. 2020). This technology integrates high-throughput optical imaging, cell focusing, cell sorting, and deep learning on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, intelligent decision-making, and actuation. I show a new class of applications in immunology, cancer biology, infectious disease, microbiology, and food science.
Keisuke Goda is a professor in the Department of Chemistry at the University of Tokyo, an adjunct professor in the Institute of Technological Sciences at Wuhan University, and an adjunct professor in the Department of Bioengineering at UCLA. He obtained a B.A. degree from UC Berkeley summa cum laude in 2001 and a Ph.D. from MIT in 2007, both in physics. At MIT, he worked on the development of gravitational-wave detectors in the LIGO group which led to the 2017 Nobel Prize in Physics. After several years of work on high-speed imaging and microfluidics at Caltech and UCLA, he joined the University of Tokyo as a professor. His research group focuses on the development of serendipity-enabling technologies based on molecular imaging and spectroscopy together with microfluidics and computational analytics to push the frontier of science (http://www.goda.chem.s.u-tokyo.ac.jp). He has published numerous papers, filed numerous patents, and received numerous awards and honors.
|Event Date||07-06-2022 4:00 pm|
|Event End Date||07-06-2022 5:00 pm|
|Registration Start Date||06-30-2022|
|Cut off date||07-06-2022 5:00 pm|