High-throughput single-cell pathogen detection on a droplet microfluidic platform

Tushar D. Rane, Helena Zec, Chris Puleo, Abraham P. Lee, Tza Huei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital microfluidics is rapidly becoming the microfluidic technology of choice for a large variety of applications [1]. The idea of using discrete droplets to maintain a high concentration of sub-cellular contents for digital detection at single molecule or cell level is highly promising as it can greatly enhance the detection sensitivity and quantification accuracy. However, realization of this idea has been hampered by the need for complicated target amplification and off-chip sample processing [2,3]. Here we extend the repertoire of digital microfluidic applications to include a versatile "sample-to-answer" platform for pathogen detection. The proposed platform can perform integrated sample preparation and amplification-free pathogen detection on a microfluidic chip. The integration enables digital detection in a continuous flow format and thereby high-throughput measurement of single cells.

Original languageEnglish (US)
Title of host publication2011 IEEE 24th International Conference on Micro Electro Mechanical Systems, MEMS 2011
Pages881-884
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event24th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2011 - Cancun, Mexico
Duration: Jan 23 2011Jan 27 2011

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
ISSN (Print)1084-6999

Conference

Conference24th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2011
Country/TerritoryMexico
CityCancun
Period1/23/111/27/11

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'High-throughput single-cell pathogen detection on a droplet microfluidic platform'. Together they form a unique fingerprint.

Cite this