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SELECTBIO Conferences Cell Therapy Asia 2018

Keisuke Goda's Biography



Keisuke Goda, Professor of Chemistry, University of Tokyo and Adjunct Professor, Wuhan University

Keisuke Goda is a professor of chemistry at the University of Tokyo. 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. His pioneering work has been published in a number of top journals such as Nature and Cell. He has received numerous honors and prizes including Japan Academy Medal, Yomiuri Gold Medal, and JSPS Prize.

Keisuke Goda Image

Intelligent Image-Activated Cell Sorting

Thursday, 6 December 2018 at 15:30

Add to Calendar ▼2018-12-06 15:30:002018-12-06 16:30:00Europe/LondonIntelligent Image-Activated Cell SortingCell Therapy Asia 2018 in Kobe, JapanKobe, JapanSELECTBIOenquiries@selectbiosciences.com

A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies such as fluorescence-activated cell sorting are limited in uncovering these relations. In this talk, I introduce our machine intelligence technology known as “Intelligent Image-Activated Cell Sorting” [Cell 175, 1 (2018)] that builds on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. I show the application of the technology to real-time image-activated sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences including cell therapy.


Add to Calendar ▼2018-12-06 00:00:002018-12-07 00:00:00Europe/LondonCell Therapy Asia 2018Cell Therapy Asia 2018 in Kobe, JapanKobe, JapanSELECTBIOenquiries@selectbiosciences.com