Literature DB >> 15872010

Modeling error and stability of endothelial cytoskeletal membrane parameters based on modeling transendothelial impedance as resistor and capacitor in series.

James E Bodmer1, Anthony English, Megan Brady, Ken Blackwell, Kari Haxhinasto, Sunaina Fotedar, Kurt Borgman, Er-Wei Bai, Alan B Moy.   

Abstract

Transendothelial impedance across an endothelial monolayer grown on a microelectrode has previously been modeled as a repeating pattern of disks in which the electrical circuit consists of a resistor and capacitor in series. Although this numerical model breaks down barrier function into measurements of cell-cell adhesion, cell-matrix adhesion, and membrane capacitance, such solution parameters can be inaccurate without understanding model stability and error. In this study, we have evaluated modeling stability and error by using a chi(2) evaluation and Levenberg-Marquardt nonlinear least-squares (LM-NLS) method of the real and/or imaginary data in which the experimental measurement is compared with the calculated measurement derived by the model. Modeling stability and error were dependent on current frequency and the type of experimental data modeled. Solution parameters of cell-matrix adhesion were most susceptible to modeling instability. Furthermore, the LM-NLS method displayed frequency-dependent instability of the solution parameters, regardless of whether the real or imaginary data were analyzed. However, the LM-NLS method identified stable and reproducible solution parameters between all types of experimental data when a defined frequency spectrum of the entire data set was selected on the basis of a criterion of minimizing error. The frequency bandwidth that produced stable solution parameters varied greatly among different data types. Thus a numerical model based on characterizing transendothelial impedance as a resistor and capacitor in series and as a repeating pattern of disks is not sufficient to characterize the entire frequency spectrum of experimental transendothelial impedance.

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Year:  2005        PMID: 15872010     DOI: 10.1152/ajpcell.00103.2005

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  2 in total

1.  Impedance analysis of renal vascular smooth muscle cells.

Authors:  Lavanya Balasubramanian; Kay-Pong Yip; Tai-Hsin Hsu; Chun-Min Lo
Journal:  Am J Physiol Cell Physiol       Date:  2008-08-06       Impact factor: 4.249

2.  Response characteristics of single-cell impedance sensors employed with surface-modified microelectrodes.

Authors:  Myo Thein; Fareid Asphahani; An Cheng; Ryan Buckmaster; Miqin Zhang; Jian Xu
Journal:  Biosens Bioelectron       Date:  2010-01-25       Impact factor: 10.618

  2 in total

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