Shopping Cart (0)
My Account

Shopping Cart
SELECTBIO Conferences Lab-on-a-Chip and Microfluidics Asia 2022

Sadao Ota's Biography

Sadao Ota, Associate Professor, University of Tokyo

Sadao Ota is an associate professor at RCAST of University of Tokyo. Sadao leads the networked biophotonics and microfluidics group, which creates new physical tools to probe biological structures and approaches of networking biological measurements across different instruments. Sadao also directs laboratories of systems biology and medicine, a virtual collaborative institute of more than ten life science groups, around RCAST. Sadao is also a chief scientific officer of ThinkCyte Inc, which commercializes his AI-driven ultrafast image-free imaging cytometry technologies, and develops its biomedical and pharmaceutical application with partnerships worldwide.

Sadao received his Ph.D. with studies in optics and biophysics from University of California Berkeley in 2013, worked as an assistant professor in 2014-2015 and as a Sakigake scholar in 2015-2018 at University of Tokyo, launched Thincyte in 2016, and the academic group in 2018.

Sadao Ota Image

Ghost Cytometry for Diagnostic, Cell Therapy, and Pooled Screening, and Beyond

Thursday, 6 October 2022 at 18:00

Add to Calendar ▼2022-10-06 18:00:002022-10-06 19:00:00Europe/LondonGhost Cytometry for Diagnostic, Cell Therapy, and Pooled Screening, and BeyondLab-on-a-Chip and Microfluidics Asia 2022 in Tokyo, JapanTokyo,

Our groups focus on the development of high-speed, pooled, and multimodal measurement systems such as droplet microfluidics and flow cytometry by integrating hardware, biological, chemical, and information technologies to extract valuable information from cells or utilize functional cells for biomedical purposes. In this talk, I will first introduce a high-speed cell analysis and sorting technology developed based on an AI-driven approach for analyzing cellular image information without creating images (GC: ghost cytometry). We have realized GC-based cell sorters in both fluorescent and unlabeled (refractive index distribution information) versions and are developing practical applications for diagnostic, cell therapy, and screening applications. An increasing variety of machine learning methods of both supervised and unsupervised learning approaches adds flexibility to the analysis. As time permits, I would also like to introduce the concept of networked cell analysis platforms and realized technologies that we have recently developed, including a fast three-dimensional imaging flow cytometer.

Add to Calendar ▼2022-10-06 00:00:002022-10-07 00:00:00Europe/LondonLab-on-a-Chip and Microfluidics Asia 2022Lab-on-a-Chip and Microfluidics Asia 2022 in Tokyo, JapanTokyo,