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Application of genetic algorithm in extracting cell dielectric characteristics with electrorotation Cover

Application of genetic algorithm in extracting cell dielectric characteristics with electrorotation

Open Access
|May 2017

Figures & Tables

Figure 1

Continuous simplification of a cell to a homogeneous particle of equivalent permittivity ε*p.${{\varepsilon }^{*}}_{p}.$ The cell is represented as cytoplasm covered by a membrane with complex permittivities ε∗cyt${{\varepsilon }^{*}}_{cyt}$ and ε*mem${{\varepsilon }^{*}}_{mem}$, respectively 16.
Continuous simplification of a cell to a homogeneous particle of equivalent permittivity ε*p.${{\varepsilon }^{*}}_{p}.$ The cell is represented as cytoplasm covered by a membrane with complex permittivities ε∗cyt${{\varepsilon }^{*}}_{cyt}$ and ε*mem${{\varepsilon }^{*}}_{mem}$, respectively 16.

Figure 2

The fitness values of a hold signal vs number of generations.
The fitness values of a hold signal vs number of generations.

Experimental data sets for medium conductivity and peak rotational frequency_

Medium conductivity σm (mS/m)Peak rotational frequency ωpk (MHz)
11.50.46
21.70.70
32.81.16
42.51.53
48.72.01
60.32.20
74.92.62
86.93.17
101.43.62

the best results for cell properties obtained from genetic optimization

Cell PropertyValue
Membrane Conductivity σmem7.043 × 10-7 S/m
Membrane Permittivity ɛmem1 × 10-10 F/m
Interior Conductivity σint1.3 S/m
Interior Permittivity ɛint1.507 × 10-9 F/m
DOI: https://doi.org/10.5617/jeb.3982 | Journal eISSN: 1891-5469
Language: English
Page range: 34 - 39
Submitted on: Nov 16, 2016
Published on: May 8, 2017
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Elnaz Alizadeh-Haghighi, Samad Jafarmadar, Shahram Khalilarya, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.