title: Distinguishing cancerous from noncancerous cells through analysis of electrical noise.
abstract: Since 1984, electric cell-substrate impedance sensing (ECIS) has been used to monitor cell behavior in tissue culture and has proven sensitive to cell morphological changes and cell motility. We have taken ECIS measurements on several cultures of noncancerous and cancerous human ovarian surface epithelial cells. By analyzing the noise in real and imaginary electrical impedance, we demonstrate that it is possible to distinguish the two cell types purely from the signatures of their electrical noise. Our measures include power-spectral exponents, Hurst and detrended fluctuation analysis, and estimates of correlation time; principal-component analysis combines all the measures. The noise from both cancerous and noncancerous cultures shows correlations on many time scales, but these correlations are stronger for the noncancerous cells.
authors.affiliation: Department of Physics, University of South Florida, Tampa, Florida 33620, USA.
authors.forename: D C
authors.initials: DC
authors.lastname: Lovelady
authors.forename: T C
authors.initials: TC
authors.lastname: Richmond
authors.forename: A N
authors.initials: AN
authors.lastname: Maggi
authors.forename: C-M
authors.initials: CM
authors.lastname: Lo
authors.forename: D A
authors.initials: DA
authors.lastname: Rabson
mesh_terms: D001703:Biophysics / Q000379:methods*; D045744:Cell Line, Tumor; D002465:Cell Movement; D017097:Electric Impedance; D004563:Electrochemistry / Q000379:methods; D005260:Female; D006801:Humans; D015233:Models, Statistical; D009369:Neoplasms / Q000175:diagnosis*; D010051:Ovarian Neoplasms / Q000175:diagnosis / Q000473:pathology; D013997:Time Factors