Serrano Viseas, Juan AlfonsoPérez García, PabloHuertas Sánchez, GloriaYúfera García, Alberto2025-01-172025-01-172020-07-20Serrano Viseas, J.A., Pérez García, P., Huertas Sánchez, G. y Yúfera García, A. (2020). Alternative General Fitting Methods for Real-Time Cell-Count Experimental Data Processing. IEEE Sensors Journal, 20 (24), 9144228. https://doi.org/10.1109/JSEN.2020.3010292.1530-437Xhttps://hdl.handle.net/11441/166950This paper reports two general methods for extraction of cell-electrode electrical model parameters in cell culture (CC) assays. The presented approaches can be applied to CC assays based on electrical cell-substrate impedance spectroscopy (ECIS) technique for real-time supervision, providing the cell number per square centimeter, i.e., the cell density, as main result. Both of the proposed methods - minimization of system equations and data predictive model - search, during the experiment, the optimum values of the electrical model parameters employed for the electrode-cell model. The results of this search enable a fast and efficient calculation of the involved cell-electrode model parameters and supply real-time information on the cell number. For the sake of experimental validation, we applied the proposed methods to practical CCs in cell growth assays with a cell line of AA8 Chinese hamster ovarian fibroblasts and the Oscillation Based Test technique for bioimpedance measurements. These methods can be easily extrapolated to any general cell lines and/or other bioimpedance test methodologies.application/pdf8 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/BioimpedanceCell-cultureECISElectrical electrode modelOBTinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/JSEN.2020.3010292