<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this study the transformed theory is applied to derive the dielectric characteristics of cells, considering the electrorotation (ER) peak frequency. In current studies, estimations of low frequency, which are credible for the values less than 1 mS/m for medium conductivity, are used to obtain the corresponding permittivity and conductivity of cells. Unlike the presented works, the transformed theory applies the comprehensive statement for corresponding permittivity and conductivity of cells. In the transformed theory, the membrane and interior characteristics could be obtained from the high and the low frequencies of peak ER, for all values of conductivity of medium. Characteristics of cells are obtained via optimization of an equation for the conductivity of medium regarding the peak ER frequency. The optimization process is performed applying genetic algorithm due to its swift adaptation to the problem and faster convergence.</p></abstract>

In this study the transformed theory is applied to derive the dielectric characteristics of cells, considering the electrorotation (ER) peak frequency. In current studies, estimations of low frequency, which are credible for the values less than 1 mS/m for medium conductivity, are used to obtain the corresponding permittivity and conductivity of cells. Unlike the presented works, the transformed theory applies the comprehensive statement for corresponding permittivity and conductivity of cells. In the transformed theory, the membrane and interior characteristics could be obtained from the high and the low frequencies of peak ER, for all values of conductivity of medium. Characteristics of cells are obtained via optimization of an equation for the conductivity of medium regarding the peak ER frequency. The optimization process is performed applying genetic algorithm due to its swift adaptation to the problem and faster convergence.

Application of genetic algorithm in extracting cell dielectric characteristics with electrorotation

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this study the transformed theory is applied to derive the dielectric characteristics of cells, considering the electrorotation (ER) peak frequency. In...

Medium conductivity σ_m (mS/m)	Peak rotational frequency ω_pk (MHz)
11.5	0.46
21.7	0.70
32.8	1.16
42.5	1.53
48.7	2.01
60.3	2.20
74.9	2.62
86.9	3.17
101.4	3.62

Cell Property	Value
Membrane Conductivity σ_mem	7.043 × 10^-7 S/m
Membrane Permittivity ɛ_mem	1 × 10^-10 F/m
Interior Conductivity σ_int	1.3 S/m
Interior Permittivity ɛ_int	1.507 × 10^-9 F/m

Application of genetic algorithm in extracting cell dielectric characteristics with electrorotation

Article Category: Articles

Online veröffentlicht: 08. Mai 2017

Seitenbereich: 34 - 39

Eingereicht: 16. Nov. 2016

DOI: https://doi.org/10.5617/jeb.3982

Schlüsselwörter
Electrorotation, genetic algorithm, cell dielectric properties, interior permittivity, membrane conductivity

© 2017 Elnaz Alizadeh-Haghighi, Samad Jafarmadar, Shahram Khalilarya, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Experimental data sets for medium conductivity and peak rotational frequency.

the best results for cell properties obtained from genetic optimization

Application of genetic algorithm in extracting cell dielectric characteristics with electrorotation

Article Category: Articles

Online veröffentlicht: 08. Mai 2017

Seitenbereich: 34 - 39

Eingereicht: 16. Nov. 2016

DOI: https://doi.org/10.5617/jeb.3982

SchlüsselwörterElectrorotation, genetic algorithm, cell dielectric properties, interior permittivity, membrane conductivity

© 2017 Elnaz Alizadeh-Haghighi, Samad Jafarmadar, Shahram Khalilarya, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Experimental data sets for medium conductivity and peak rotational frequency.

the best results for cell properties obtained from genetic optimization

Schlüsselwörter
Electrorotation, genetic algorithm, cell dielectric properties, interior permittivity, membrane conductivity