{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T17:12:48Z","timestamp":1763226768167,"version":"build-2065373602"},"reference-count":20,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T00:00:00Z","timestamp":1571961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"C\u00e1tedra Telef\u00f3nica Inteligencia en Red","award":["0228-0399"],"award-info":[{"award-number":["0228-0399"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>High-throughput data analysis challenges in laboratory automation and lab-on-a-chip devices\u2019 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.<\/jats:p>","DOI":"10.3390\/s19214639","type":"journal-article","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T04:41:27Z","timestamp":1571978487000},"page":"4639","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Data-Analytics Modeling of Electrical Impedance Measurements for Cell Culture Monitoring"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4823-7333","authenticated-orcid":false,"given":"Elvira","family":"Garc\u00eda","sequence":"first","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Escuela T\u00e9cnica Superior de Ingenier\u00eda Inform\u00e1tica, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"P\u00e9rez","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Escuela T\u00e9cnica Superior de Ingenier\u00eda Inform\u00e1tica, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain"},{"name":"Instituto de Microelectr\u00f3nica de Sevilla, Universidad de Sevilla (IMSE-CNM-CSIC), Av. Am\u00e9rico Vespucio, 28, 41092 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6388-4462","authenticated-orcid":false,"given":"Alberto","family":"Olmo","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Escuela T\u00e9cnica Superior de Ingenier\u00eda Inform\u00e1tica, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain"},{"name":"Instituto de Microelectr\u00f3nica de Sevilla, Universidad de Sevilla (IMSE-CNM-CSIC), Av. Am\u00e9rico Vespucio, 28, 41092 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"D\u00edaz","sequence":"additional","affiliation":[{"name":"R &amp; D Department, Treelogic S.L. 28223 Pozuelo de Alarc\u00f3n, Spain"},{"name":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad Carlos III de Madrid, Av. De la Universidad 30, 28911 Legan\u00e9s, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gloria","family":"Huertas","sequence":"additional","affiliation":[{"name":"Instituto de Microelectr\u00f3nica de Sevilla, Universidad de Sevilla (IMSE-CNM-CSIC), Av. Am\u00e9rico Vespucio, 28, 41092 Sevilla, Spain"},{"name":"Departamento de Electr\u00f3nica y Electromagnetismo, Facultad de F\u00edsica, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1814-6089","authenticated-orcid":false,"given":"Alberto","family":"Y\u00fafera","sequence":"additional","affiliation":[{"name":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Escuela T\u00e9cnica Superior de Ingenier\u00eda Inform\u00e1tica, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain"},{"name":"Instituto de Microelectr\u00f3nica de Sevilla, Universidad de Sevilla (IMSE-CNM-CSIC), Av. Am\u00e9rico Vespucio, 28, 41092 Sevilla, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9482","DOI":"10.1016\/j.eswa.2015.07.075","article-title":"Biological image classification using rough-fuzzy artificial neural network","volume":"42","author":"Affonso","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.eswa.2019.02.013","article-title":"Machine learning algorithms for predicting drugs\u2013tissues relationships","volume":"127","author":"Turki","year":"2019","journal-title":"Expert Syst. 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