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SELECTBIO Conferences Cell Therapy Asia 2018

Keisuke Goda's Biography

Keisuke Goda, ImPACT Program Manager, Japan Science and Technology Agency, Professor of Physical Chemistry, University of Tokyo

Keisuke Goda is 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 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. In 2012, he joined the University of Tokyo as a professor. His research group focuses on the development of innovative laser-based molecular imaging 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), 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.

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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,

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,