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Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations

A smart sensor system for cell culture real-time supervision is proposed, allowing for a significant reduction in human effort applied to this type of assay. The approach converts the cell culture under test into a suitable “biological” oscillator. The system enables the remote acquisition and manag...

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Autores principales: Pérez, Pablo, Huertas, Gloria, Olmo, Alberto, Maldonado-Jacobi, Andrés, Serrano, Juan A., Martín, María E., Daza, Paula, Yúfera, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112038/
https://www.ncbi.nlm.nih.gov/pubmed/30081533
http://dx.doi.org/10.3390/s18082550
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author Pérez, Pablo
Huertas, Gloria
Olmo, Alberto
Maldonado-Jacobi, Andrés
Serrano, Juan A.
Martín, María E.
Daza, Paula
Yúfera, Alberto
author_facet Pérez, Pablo
Huertas, Gloria
Olmo, Alberto
Maldonado-Jacobi, Andrés
Serrano, Juan A.
Martín, María E.
Daza, Paula
Yúfera, Alberto
author_sort Pérez, Pablo
collection PubMed
description A smart sensor system for cell culture real-time supervision is proposed, allowing for a significant reduction in human effort applied to this type of assay. The approach converts the cell culture under test into a suitable “biological” oscillator. The system enables the remote acquisition and management of the “biological” oscillation signals through a secure web interface. The indirectly observed biological properties are cell growth and cell number, which are straightforwardly related to the measured bio-oscillation signal parameters, i.e., frequency and amplitude. The sensor extracts the information without complex circuitry for acquisition and measurement, taking advantage of the microcontroller features. A discrete prototype for sensing and remote monitoring is presented along with the experimental results obtained from the performed measurements, achieving the expected performance and outcomes.
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spelling pubmed-61120382018-08-30 Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations Pérez, Pablo Huertas, Gloria Olmo, Alberto Maldonado-Jacobi, Andrés Serrano, Juan A. Martín, María E. Daza, Paula Yúfera, Alberto Sensors (Basel) Article A smart sensor system for cell culture real-time supervision is proposed, allowing for a significant reduction in human effort applied to this type of assay. The approach converts the cell culture under test into a suitable “biological” oscillator. The system enables the remote acquisition and management of the “biological” oscillation signals through a secure web interface. The indirectly observed biological properties are cell growth and cell number, which are straightforwardly related to the measured bio-oscillation signal parameters, i.e., frequency and amplitude. The sensor extracts the information without complex circuitry for acquisition and measurement, taking advantage of the microcontroller features. A discrete prototype for sensing and remote monitoring is presented along with the experimental results obtained from the performed measurements, achieving the expected performance and outcomes. MDPI 2018-08-03 /pmc/articles/PMC6112038/ /pubmed/30081533 http://dx.doi.org/10.3390/s18082550 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez, Pablo
Huertas, Gloria
Olmo, Alberto
Maldonado-Jacobi, Andrés
Serrano, Juan A.
Martín, María E.
Daza, Paula
Yúfera, Alberto
Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title_full Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title_fullStr Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title_full_unstemmed Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title_short Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
title_sort remote cell growth sensing using self-sustained bio-oscillations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112038/
https://www.ncbi.nlm.nih.gov/pubmed/30081533
http://dx.doi.org/10.3390/s18082550
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