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 publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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

Other

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

Fingerprint

Lab-On-A-Chip Devices
Spatio-Temporal Analysis
Hydrodynamics
Microfluidics
Image analysis
Costs and Cost Analysis
Rheology
Flow velocity
Velocity measurement
Macros
Costs
Experiments

ASJC Scopus subject areas

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

Cite this

Mahanti, P., Taylor, T., Cochran, D., Hayes, M., Weiss, N., & Jones, P. (2011). Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 4026-4029). [6091000] https://doi.org/10.1109/IEMBS.2011.6091000

Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization. / Mahanti, Prasun; Taylor, Thomas; Cochran, Douglas; Hayes, Mark; Weiss, Noah; Jones, Paul.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 4026-4029 6091000.

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

Mahanti, P, Taylor, T, Cochran, D, Hayes, M, Weiss, N & Jones, P 2011, Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6091000, pp. 4026-4029, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6091000
Mahanti P, Taylor T, Cochran D, Hayes M, Weiss N, Jones P. Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 4026-4029. 6091000 https://doi.org/10.1109/IEMBS.2011.6091000
Mahanti, Prasun ; Taylor, Thomas ; Cochran, Douglas ; Hayes, Mark ; Weiss, Noah ; Jones, Paul. / Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. pp. 4026-4029
@inproceedings{72915938b6ac43fcb148e5b3f66c4e96,
title = "Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization",
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.",
author = "Prasun Mahanti and Thomas Taylor and Douglas Cochran and Mark Hayes and Noah Weiss and Paul Jones",
year = "2011",
doi = "10.1109/IEMBS.2011.6091000",
language = "English (US)",
isbn = "9781424441211",
pages = "4026--4029",
booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

}

TY - GEN

T1 - Spatio-temporal image analysis of particle streaks in micro-channels for low-cost electro-hydrodynamic flow characterization

AU - Mahanti, Prasun

AU - Taylor, Thomas

AU - Cochran, Douglas

AU - Hayes, Mark

AU - Weiss, Noah

AU - Jones, Paul

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84055217527&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84055217527&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6091000

DO - 10.1109/IEMBS.2011.6091000

M3 - Conference contribution

C2 - 22255223

AN - SCOPUS:84055217527

SN - 9781424441211

SP - 4026

EP - 4029

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

ER -