MEMS Seminar: Deep Phenotyping Enabled by Microfluidics and High-Throughput Quantitative Microscopy
Wednesday, September 20, 2017
12:00 pm - 1:00 pm
Fitzpatrick Center Schiciano Auditorium Side A
Professor Hang Lu
We are interested in developing and using a set of automation, microfluidics, and image-based data mining technologies to address questions in quantitative biology. In one example, I will show how we take advantage of simple hydrodynamics to design microfluidic systems for large throughput and spatially and temporally well-controlled experiments in Drosophila embryonic development as well as in immunology. In another example, I will show how we combine the power of experimental tools and computational tools to study problems in development neurobiology and behavior in C. elegans. The power of these engineered systems lies in that the throughput that can be achieved by using automation and microfluidics is 100-1,000 times that of conventional methods; furthermore, we can obtain information unattainable by conventional tools and "invisible" to human vision to discover new genes and gene functions. Lunch will be provided at 11:30 am.