Artículo
Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
Autor/es | Pérez García, Pablo
Huertas Sánchez, Gloria Olmo Fernández, Alberto Maldonado-Jacobi, Andrés Serrano Viseas, Juan Alfonso Martín Rubio, María Esther Daza Navarro, María Paula Yúfera García, Alberto |
Coordinador/Director | Rueda Rueda, Adoración
Sánchez Aguayo, Inmaculada |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo Universidad de Sevilla. Departamento de Biología Celular |
Fecha de publicación | 2018 |
Fecha de depósito | 2018-09-07 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | Pérez García, P., Huertas Sánchez, G., Olmo Fernández, A., Maldonado-Jacobi, A., Serrano Viseas, J.A., Martín Rubio, M.E.,...,Yúfera García, A. (2018). Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations. Sensor, 18 (8), 1-13. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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S_yufera_2018_remote.pdf | 3.606Mb | [PDF] | Ver/ | |