Artículo
Data-Analytics Modeling of Electrical Impedance Measurements for Cell Culture Monitoring
Autor/es | García Ruíz, Elvira
Pérez García, Pablo Olmo Fernández, Alberto Díaz, Roberto Huertas Sánchez, Gloria Yúfera García, Alberto |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2019 |
Fecha de depósito | 2019-11-27 |
Publicado en |
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Resumen | High-throughput data analysis challenges in laboratory automation and lab-on-a-chip devices’ applications are continuously increasing. In cell culture monitoring, specifically, the electrical cell-substrate impedance sensing ... High-throughput data analysis challenges in laboratory automation and lab-on-a-chip devices’ applications are continuously increasing. In cell culture monitoring, specifically, the electrical cell-substrate impedance sensing technique (ECIS), has been extensively used for a wide variety of applications. One of the main drawbacks of ECIS is the need for implementing complex electrical models to decode the electrical performance of the full system composed by the electrodes, medium, and cells. In this work we present a new approach for the analysis of data and the prediction of a specific biological parameter, the fill-factor of a cell culture, based on a polynomial regression, data-analytic model. The method was successfully applied to a specific ECIS circuit and two different cell cultures, N2A (a mouse neuroblastoma cell line) and myoblasts. The data-analytic modeling approach can be used in the decoding of electrical impedance measurements of different cell lines, provided a representative volume of data from the cell culture growth is available, sorting out the difficulties traditionally found in the implementation of electrical models. This can be of particular importance for the design of control algorithms for cell cultures in tissue engineering protocols, and labs-on-a-chip and wearable devices applications |
Identificador del proyecto | RTI2018-093512-B-C21 |
Cita | García Ruíz, E., Pérez García, P., Olmo Fernández, A., Díaz, R., Huertas Sánchez, G. y Yúfera García, A. (2019). Data-Analytics Modeling of Electrical Impedance Measurements for Cell Culture Monitoring. Sensors, 19 (21), 1-10. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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pubsensors-19-04639.pdf | 2.830Mb | [PDF] | Ver/ | |