OSSC May Meeting on Fluorescence Imaging
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OSSC Regular Meeting
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About this event
Cloud computing and light-sheet illumination for single-molecule super-resolution imaging
Dr. Hu Cang
Salk Institute for Biological Studies, La Jolla, CA
Abstract: We present a Light-Sheet Bayesian Super-resolution Microscope (LSB-SRM) that allows direct visualization of nuclear structure in human embryonic stem cells (hESs). This microscope is a marriage between two recently developed techniques: light-sheet single molecule super-resolution microscopy and a Bayesian super-resolution image reconstruction algorithm. The light-sheet illumination reduces the excitation volume, suppresses the fluorescence background from fluorophore in unwanted layer of a sample, and therefore increases the signal-to-noise ratio of the single-molecule detection. The Bayesian algorithm, which is implemented on Amazon Elastic Compute Cloud, can efficiently resolve single molecules in images with noisy background. A combination of the two allows us to directly visualize nanometer scale domains of heterochromatin in the nucleus of human embryonic stem cells.
About our speaker: Dr. Hu Cang is an Assistant Professor from the Waitt Advanced Biophotonics Center at the Salk Institute for Biology Studies, San Diego. He received a MS of Electrical Engineering and a PhD of Chemical Physics from Stanford University in 2005. His current research focuses on developing novel super-resolution light microscopy techniques. Dr. Cang has authored more than 20 articles in scientific journals including Nature, Nature Methods and Phys. Rev. Lett. He is a recipient of the Ray Thomas Edwards Career Award in Biomedical Science.
Wednesday, May 8
6:00 Networking and Social Hour
6:45: Dinner
7:45: Program
Meal: $30 (OSSC Student Members Free)
Parking: $5
949-553-8332
Please Register by Monday, May 6
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