Sadao Ota - Learning Cytometers to find critical cells or particles when molecular markers are not enough

Sadao Ota, Networked biophotonics and microfluidics, RCAST at University of Tokyo, ThinkCyte inc.

Seminar Room 0.125, MPZPM, Kussmaulallee 2, 91054 Erlangen

Also via Zoom: https://eu02web.zoom-x.de/j/64279729681?pwd=NIX4enpxwJj8w8kSGtbukcET4974VS.1
Meeting-ID: 642 7972 9681
Kenncode: 706268


Abstract:
I will first introduce our work on Ghost Cytometry, which enabled the world’s first AI-based “imaging” cell sorter. Using multi-parametric data—including fluorescence and label-free morphology—our system allows for the discovery of key phenotypes in a marker-free or marker-limited setting. Through a series of case studies, I will highlight applications in biology and medicine. If time allows, I am talking about more recent developments of OT-flow: a temporal bacterial spectral flow cytometer and Deep Nanometry: an ultra-sensitive nanoparticle analyzer. I hope to share an idea of how we are aiming to free optical data values from the limit of human knowledge.

Cooperation partners

Graduate Program