MNP External Seminar: Prof Keisuke Goda (University of Tokyo)

Title: AI Cell Sorter

Abstract:

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 are limited in uncovering these relations. In this talk, I introduce a machine intelligence technology known as “Intelligent Image-Activated Cell Sorting” [1, 2] that builds on a radically new architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology integrates high-throughput cell microscopy, focusing, 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 also show a few groundbreaking applications of the technology and introduce its related methods [3, 4]. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

[1] Nitta et al., Cell 175, 266 (2018)

[2] Isozaki et al., Nature Protocols 14, 2370 (2019)

[3] Suzuki et al., PNAS 116, 15842 (2019)

[4] Hiramatsu et al, Science Advances 4, eaau0241 (2019)

Biography:

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 BA degree from UC Berkeley summa cum laude in 2001 and a PhD 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. He has published >250 papers, filed >30 patents, and received numerous awards and honors.