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 |
|
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 |
---|---|---|---|---|
S_yufera_2018_remote.pdf | 3.606Mb | ![]() | Ver/ | |