Conference will begin: Tuesday, October 25, 2022
Presented by: Wei Min, Columbia University
Biological systems with intrinsic complexity require multiplexing techniques to comprehensively describe the phenotype, interaction, and heterogeneity. However, fluorescence can only image two to about five targets at once, due to the limitations inherent in the broad fluorescent spectra. Min demonstrates that by coupling the newly developed rainbow-like Raman probes (>20 resolved colors) with ultrasensitive stimulated Raman scattering microscopy, these limitations have been exceeded and supermultiplex vibrational imaging has been achieved in a wide range of important applications, including tissue slices, organelles in live cells, live-cell profiling, volumetric imaging of thick brain tissues, and optical barcoding. He also illustrates how rainbow-like Raman probes can be generated from systematic studies on structure-spectroscopy relationships. This supermultiplex approach is well suited for interrogating complex biological systems such as the brain and tumors.
About the presenter
Wei Min, Ph.D., graduated from Peking University in 2003. He received his doctorate from Harvard University in 2008 after studying single-molecule biophysics with professor Sunney Xie. After continuing his postdoctoral work in the Xie group, Min joined the faculty at Columbia University in 2010 and was promoted to full professor there in 2017. He is also affiliated with the Kavli Institute for Brain Science and the Department of Biomedical Engineering at Columbia University. Min's current research interests focus on developing novel optical spectroscopy and microscopy technology to address biomedical problems. His contribution has been recognized by a number of honors, including the Craver Award from the Coblentz Society (2022), the Scientific Achievement Award from the Royal Microscopical Society (2021), the Pittsburgh Conference Achievement Award (2019), the Analyst Emerging Investigator Lectureship (2018), the Coblentz Award for Molecular Spectroscopy (2017), the ACS Early Career Award in Experimental