Data-analytics modeling of electrical impedance measurements for cell culture monitoring

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Show simple item record García, Elvira Pérez, Pablo Olmo, Alberto Díaz Morales, Roberto Huertas, Gloria Yúfera, Alberto 2020-08-04T11:57:05Z 2020-08-04T11:57:05Z 2019-10-25
dc.identifier.bibliographicCitation Sensors 2019, 19(21), 4639, 10 pp.
dc.identifier.issn 1424-8220
dc.description.abstract 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.
dc.description.sponsorship This work was in part funded by Cátedra Telefónica Inteligencia en Red, 2018-2019; and by the Spanish Government's Ministerio de Ciencia, Innovación y Universidades, Plan Estatal, 2017-2020: Retos-Proyectos I+D+I: Real time monitoring of hemodynamic variables using intelligent stents (iSTENT) with capacitive sensors and bioimpedance, under the project RTI2018-093512-B-C21, co-financed with FEDER.
dc.format.extent 10
dc.language.iso eng
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY)
dc.rights Reconocimiento 3.0 España
dc.subject.other Laboratory automation
dc.subject.other Cell culture monitoring
dc.subject.other Electrical impedance
dc.subject.other Data analytics modeling
dc.title Data-analytics modeling of electrical impedance measurements for cell culture monitoring
dc.type article
dc.subject.eciencia Electrónica
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. RTI2018-093512-B-C21
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 21, 4639
dc.identifier.publicationlastpage 10
dc.identifier.publicationtitle SENSORS
dc.identifier.publicationvolume 19
dc.identifier.uxxi AR/0000024476
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades (España)
dc.affiliation.dpto UC3M. Departamento de Teoría de la Señal y Comunicaciones
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