Location:
CR8, Hudson Beare (http://www.ed.ac.uk/maps?building=hudson-beare-building)
Date:
Wednesday, January 28, 2015 - 12:45 to 14:00
Microfluidics for single cell analysis
Dr. Huabing Yin, Division of Biomedical Engineering, School of Engineering, University of Glasgow
Abstract:
The importance of individual heterogeneity within an isogenic population is well recognised. Methods that use average responses from a population often mask the difference from individual cells. To reveal phenotypic variations in a population, high throughput analysis of a large number of individual cells is essential. However, in order to achieve this, a number of challenges ranging from single cell handling to detection have to be overcome. Our solution is to exploit advances in microfluidics, nanofabrication and spectroscopic techniques to create integrated, single-cell platforms. These platforms enable quantitative analysis of single cells in precisely defined microenvironments, and can be employed for a wide range of applications. In this talk, I will illustrate their advantages for single bacterial studies with several of our current works; including Raman activated single cell sorting, use of single cell growth rates to study antibiotic persistence and antibiotic degradation.
The importance of individual heterogeneity within an isogenic population is well recognised. Methods that use average responses from a population often mask the difference from individual cells. To reveal phenotypic variations in a population, high throughput analysis of a large number of individual cells is essential. However, in order to achieve this, a number of challenges ranging from single cell handling to detection have to be overcome. Our solution is to exploit advances in microfluidics, nanofabrication and spectroscopic techniques to create integrated, single-cell platforms. These platforms enable quantitative analysis of single cells in precisely defined microenvironments, and can be employed for a wide range of applications. In this talk, I will illustrate their advantages for single bacterial studies with several of our current works; including Raman activated single cell sorting, use of single cell growth rates to study antibiotic persistence and antibiotic degradation.
Event Contact Name:
Dr Pankaj
