High-speed imaging meets single-cell analysis [SCIEN]

High-speed imaging meets single-cell analysis
Friday, January 27, 2017 - 4:30pm
Packard 101
Professor Keisuke Goda (University of Tokyo)
Abstract / Description: 

High-speed imaging is an indispensable tool for blur-free observation and monitoring of fast transient dynamics in today's scientific research, industry, defense, and energy. The field of high-speed imaging has steadily grown since Eadweard Muybridge demonstrated motion-picture photography in 1878. High-speed cameras are commonly used for sports, manufacturing, collision testing, robotic vision, missile tracking, and fusion science and are even available to professional photographers. Over the last few years, high-speed imaging has been shown highly effective for single-cell analysis – the study of individual biological cells among populations for identifying cell-to-cell differences and elucidating cellular heterogeneity invisible to population-averaged measurements. The marriage of these seemingly unrelated disciplines has been made possible by exploiting high-speed imaging's capability of acquiring information-rich images at high frame rates to obtain a snapshot library of numerous cells in a short duration of time (with one cell per frame), which is useful for accurate statistical analysis of the cells. This is a paradigm shift in the field of high-speed imaging since the approach is radically different from its traditional use in slow-motion analysis. In this talk, I introduce a few different methods for high-speed imaging and their application to single-cell analysis for precision medicine and green energy.


Keisuke Goda is Department Chair and a Professor of Physical Chemistry in the Department of Chemistry at the University of Tokyo and holds an adjunct faculty position at UCLA. He obtained his BA degree summa cum laude from UC Berkeley in 2001 and his PhD from MIT in 2007, both in physics. At MIT, he worked on the development of quantum-enhancement techniques in LIGO for gravitational-wave detection. His research currently focuses on the development of innovative laser-based molecular imaging and spectroscopy methods 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), and WIRED Audi Innovation Award (2016). He serves as an Associate Editor for APL Photonics (AIP Publishing) and a Young Global Leader for World Economic Forum.