Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations
AbstractA 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. View Full-Text
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Pérez, P.; Huertas, G.; Olmo, A.; Maldonado-Jacobi, A.; Serrano, J.A.; Martín, M.E.; Daza, P.; Yúfera, A. Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations. Sensors 2018, 18, 2550.
Pérez P, Huertas G, Olmo A, Maldonado-Jacobi A, Serrano JA, Martín ME, Daza P, Yúfera A. Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations. Sensors. 2018; 18(8):2550.Chicago/Turabian Style
Pérez, Pablo; Huertas, Gloria; Olmo, Alberto; Maldonado-Jacobi, Andrés; Serrano, Juan A.; Martín, María E.; Daza, Paula; Yúfera, Alberto. 2018. "Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations." Sensors 18, no. 8: 2550.
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