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Next-generation tools for multiplexed fluorescence imaging of dynamic signals

Date 18 Dec 2024
Time 4:30 pm - 5:30 pm (HKT)
Venue Lecture Theatre P1, Chong Yuet Ming Chemistry Building
Speaker Dr. Yong QIAN
Institution The University of Tokyo
Self Photos / Files - Dr. Yong QIAN Seminar Poster
 
Title:
Next-generation tools for multiplexed fluorescence imaging of dynamic signals
 
Schedule:
Date: 18thDecember, 2024 (Wednesday)
Time: 4:30 - 5:30 pm (HKT)
 
Venue: Lecture Theatre P1, Chong Yuet Ming Chemistry Building
 
Speaker:
Dr. Yong QIAN
The University of Tokyo
 
Biography:
Dr. Yong Qian earned his B.Sc. in Chemistry from Lanzhou University in 2014 and his Ph.D. in Chemistry from University of Alberta in 2019. Following his PhD, he worked as a postdoctoral associate at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology (MIT) from September 2019 to September 2024. In October 2024, he joined the University of Tokyo as a project researcher. His research focuses on developing next-generation genetically encoded tools and fluorescence imaging technologies to enable the simultaneous measurement of many molecular signals within single cells.
 
Abstract:
Molecular signals interact in networks to mediate biological processes in health and disease. Ideally one would be able to image many such molecular signals at once, in individual cells, to see how they interact, key to understanding how signaling cascades and networks govern important biological phenomena. Without this ability, it is hard to determine the relationships between signals. Traditionally, on the conventional microscopes commonly used in biology, multiplexed fluorescence imaging has relied on spectral differences between the fluorophores of biosensors used to report different dynamic signals. Due to the broad spectra of available biosensors, the number of signals observable by multiplexed imaging is limited to just two or three. I will describe our efforts to increase the number of dynamic signals that can be observed simultaneously by engineering and utilizing biosensors that differ in spectra, time, and space.  
 
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