Software for Extraction of Cell Properties from Dielectrophoretic Data using Well Electrode

Authors

  • Lim Teck Chee Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Mohd Azhar Abdul Razak Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v61.1637

Keywords:

Dielectrophoresis, well electrode, cell properties

Abstract

Dielectrophoresis (DEP) method offers a lot of advantages such as cell characterization and separation on mixtures of cells in modern laboratories. By knowing the cells characteristic, separation of any interested cells from blood or other biological fluids could be performed for medical diagnostic research. Additionally, the effect of drugs to cell could be investigated further. In this study, a user friendly software has been developed using GUI Matlab to extract the properties of cell from dielectrophoretic data. The data contains changes of light intensity of the moving cells under the influenced of DEP force in the DEP well electrode. The intensity is measured from a series of images captured by a microscope. By fitting the model curve to the dielectrophoretic data with two friendly functions namely Auto Plot and Auto Fit, user is able to extract the cell properties faster. In this study, the results of live and dead yeast cell properties were successfully determined based on a total of six dielectrophoretic data.

References

H. A. Pohl. 1951. Dielectrophoresis. Appl. Phys. 22: 869–71.

R. Pethig. 2010. Review Article-dielectrophoresis: Status of the Theory, Technology, and Applications. Biomicrofluidics. 4(2).

R. Martinez-Duarte, P. Renaud, and M. J. Madou. 2011. A Novel Approach to Dielectrophoresis Using Carbon Electrodes. Electrophoresis. 27(10): 201100059.

K. F. Hoettges, Y. Hubner, L. M. Broche, S. L. Ogin, G. E. N. Kass and M. P. Hughes. 2008. Dielectrophoresis-Activated Multiwell Plate for Label-Free High-Throughput Drug Assessment. Analytical Chemistry, 80(6): 2063–2068.

H. A. Pohl and I. Hawk. 1966. Separation of Living and Dead Cells by Dielectrophoresis. Science. 152(3722): 647–9.

X. B. Wang, Y. Huang, X. Wang, F. F. Becker and, P. R. Gascoyne. 1997. Dielectrophoretic Manipulation of Cells with Spiral Electrodes. Biophysical Journal. 72(4): 1887–1899.

S. Kumar, S. Yoon and, G. Kim. 2009. Bridging the Nanogap Electrodes with Gold Nanoparticles using Dielectrophoresis Technique. Current Applied Physics. 9(1): 101–103.

L.-S. Jang, P.-H. Huang and K.-C. Lan. 2009. Single-cell Trapping Utilizing Negative Dielectrophoretic Quadrupole and Microwell Electrodes. Biosensors and Bioelectronics. 24(12): 3637–3644.

N. Lewpiriyawong, K. Kandaswamy, C. Yang, V. Ivanov and R. Stocker. 2011. Microfluidic Characterization and Continuous Separation of Cells and Particles Using Conducting Poly(dimethyl siloxane) Electrode Induced Alternating Current-Dielectrophoresis. Analytical Chemistry. 83(24): 9579–9585.

F. F. Becker, X. B. Wang, Y. Huang, R. Pethig, J. Vykoukal and P. R. Gascoyne. 1995. Separation of Human Breast Cancer Cells from Blood by Differential Dielectric Affinity. Proceedings of the National Academy of Sciences of the United States of America. 92(3): 860–864.

M. P. Hughes. 2002. Strategies for Dielectrophoretic Separation in Laboratory-on-a-Chip Systems. Electrophoresis. 23(16): 2569–82.

J. Yang, Y. Huang, X.-B. Wang, F. F. Becker and P. R. C. Gascoyne. 1999. Cell Separation on Microfabricated Electrodes Using Dielectrophoretic/Gravitational Field-Flow Fractionation. Analytical Chemistry. 71(5): 911–918.

Y. Huang, R. Holzel, R. Pethig and X. B. Wang. 1992. Differences in the AC Electrodynamics of Viable and Non-viable Yeast Cells Determined Through Combined Dielectrophoresis and Electrorotation Studies. Phys Med Biol. 37(7): 1499–517.

, I. Doh and Y. H. Cho. 2005. A Continuous Cell Separation Chip Using Hydrodynamic Dielectrophoresis (DEP) Process. Vol. 121. 2005, Kidlington, ROYAUME-UNI: Elsevier. 7.

H. J. Motulsky and L. A. Ransnas. 1987. Fitting Curves to Data Using Nonlinear Regression a Practical and Nonmathematical Review. FASEB Journal. 1(5): 365–374.

C. Huang, B. G. Hawkins, S. Arasanipalai and, B. J. Kirby. 2010. Automated Dielectrophoretic Characterization For Microfluidic Cell Separation Devices. MicroTAS. Groningen.

Downloads

Published

2013-02-15

Issue

Section

Science and Engineering

How to Cite

Software for Extraction of Cell Properties from Dielectrophoretic Data using Well Electrode. (2013). Jurnal Teknologi (Sciences & Engineering), 61(2). https://doi.org/10.11113/jt.v61.1637