Improvements in the extraction of cell electric properties from their electrorotation spectrum.
In this paper, we propose a new approach to perform cell dielectric characterization from their electrorotation spectrum. At first, a variance analysis is carried out to quantify the dispersion in electrorotation spectra due to the different parameters involved. On this basis, the impact of each parameter is emphasized by weighing the spectrum with an appropriate frequency-dependent coefficient: this technique enables to minimize the coupling effects which deteriorate the accuracy of parameter extraction. In addition, the Nelder-Mead simplex algorithm used in the identification procedure is modified to account for bounded intervals in which the unknown parameters are expected to vary. Both these techniques have proven to give increased confidence levels compared to previous work reported in the literature.
Voyer
Damien
D
Laboratoire Ampère (UMR CNRS 5005), Université de Lyon, Ecole Centrale de Lyon, 36 avenue Guy de Collongue, Ecully, France.
Frénéa-Robin
Marie
M
Buret
François
F
Nicolas
Laurent
L
D000704:Analysis of Variance; D002477:Cells; D004560:Electricity; D012399:Rotation; D013057:Spectrum Analysis