DocumentCode
901574
Title
Deconvolved electrical impedance spectra track distinct cell morphology changes
Author
McRae, Donald A. ; Esrick, Mark A.
Author_Institution
Med. Center, Georgetown Univ., Washington, DC, USA
Volume
43
Issue
6
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
607
Lastpage
618
Abstract
A two-component Cole-Cole model was used to obtain statistically significant fits to 100-Hz-10-MHz impedance data for EMT-6 mouse tumors during the progressive histological changes induced by hyperthermia. The resulting fitting parameters were used to deconvolute and reconstruct the two dispersions which confer the predominant impedance features to this tissue. The time-dependent changes of these two dispersions were correlated with the concurrent, heat-induced morphological changes of the tumors´ cells. The higher frequency dispersion (f c≈1 MHz) was identified with a Maxwell-Wagner relaxation process linked to the overall volume response of the cells. The lower frequency dispersion (f c≈10 kHz) represented an alpha-relaxation associated with the surface morphology and integrity of the plasma membranes. Thus, two aspects of the characteristic cellular damage sequence in these tumors were found to be separately discernable and trackable in real-time using the impedance data.
Keywords
bioelectric phenomena; biological techniques; cellular biophysics; electric impedance measurement; hyperthermia; physiological models; 100 to 10 MHz; EMT-6 mouse tumors; Maxwell-Wagner relaxation process; alpha-relaxation; cellular overall volume response; characteristic cellular damage sequence; deconvolved electrical impedance spectra; distinct cell morphology changes tracking; hyperthermia effects; plasma membranes integrity; progressive histological changes; surface morphology; two-component Cole-Cole model; Biomedical measurements; Biomembranes; Cancer; Electrodes; Frequency; Hyperthermia; Impedance measurement; Mice; Morphology; Neoplasms; Animals; Electric Impedance; Female; Hyperthermia, Induced; Mammary Neoplasms, Experimental; Mice; Models, Biological; Time Factors;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.495280
Filename
495280
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