Fragmental Frequency Analysis Method to Estimate Electrical Cell Parameters From Bioimpedance Study

This paper introduces an alternate approach utilizing the fragmental frequency analysis method for analyzing bioimpedance data to estimate electrical cell parameters. Impedance of cervical cancer cells (HeLa) in phosphate buffer saline media is measured using an electric cell-substrate impedance sensing (ECIS) device and impedance analyzer. The measured impedance data were visualized by modeling an equivalent electrical circuit of the system considering the dominancy of individual parameters of the ECIS system and analyzed in different frequency zones. The present approach eliminates the convergence inaccuracy in fitting the experimental impedance data with fitting software arising due to invalid initial conditions, and a large number of data points. This method provides high-frequency characterization, modeling of ECIS system, knowledge of effect of ECIS model parameters with frequency, and an alternate way to calculate model parameters.