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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6112038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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