Abstract

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

Sadao Ota, Associate Professor, University of Tokyo

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.