Speaker: Keisuke Goda, Ph.D.
Affiliation: Department of Chemistry, University of Tokyo
Extreme Imaging for Large-Scale Single-Cell Analysis
Cellular heterogeneity is a central challenge of biology in which there are cell-to-cell differences even within the same species. Population-averaged measurements of cellular behaviors do not represent the behaviors of any individual cell. A few notable examples of cellular heterogeneity are the resistance of cancer cells to anticancer drugs and the metabolic heterogeneity of microorganisms. In this talk, I present extremely fast molecular imaging technology combined with artificial intelligence on a microfluidic platform for large-scale single-cell analysis. The technology provides information-rich images of numerous single cells in a short period of time, enabling us to study and exploit cellular heterogeneity. In the talk, I discuss the principles and various applications of the technology.
Keisuke Goda is a Professor of Physical Chemistry in the Department of Chemistry at the University of Tokyo. He obtained his B.A. degree summa cum laude from UC Berkeley in 2001 and his Ph.D. from MIT in 2007, both in physics. At MIT, he worked on gravitational-wave detection in the LIGO group, which was awarded the Nobel Prize in physics in 2017. In 2012, he joined the University of Tokyo as a professor. His research group focuses on the development of innovative molecular imaging and spectroscopy technologies for data-driven science. He has been awarded the Gravitational Wave International Committee Thesis Award (2008), Burroughs Wellcome Fund Career Award (2011), Konica Minolta Imaging Science Award (2013), IEEE Photonics Society Distinguished Lecturers Award (2014), WIRED Audi Innovation Award (2016), and Eiichi Takano Award (2017). He serves as an Associate Editor for APL Photonics (AIP Publishing) and a Young Global Leader for World Economic Forum.
Date(s) - Feb 01, 2018
12:00 pm - 1:00 pm