Abstract

Flow characterization is a primary analytical method for performance evaluation of microfluidic devices. With the increasing prevalence of microfluidic devices in recent years, there is a growing need for simple methods of automated flow estimation. In this work, a novel flow diagnostic technique based on image analysis of particle streaks is introduced, to characterize local flow velocities. While 1D velocimetry using particle tracks has occasionally been discussed for macro-scale environments, the use of particle streaks for 2-D flow characterization in micro-channels has not been explored. The proposed technique is qualitatively validated against electroki-netic experiment and numerically validated with simulated flows.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages4026-4029
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint

Dive into the research topics of 'Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization'. Together they form a unique fingerprint.

Cite this