Instituto de Microelectrónica de Sevilla, IMSE, CNM (Universidad de Sevilla, CSIC), Av. Américo Vespucio, SN, 41092 Sevilla, Spain.
Departamento de Tecnología Electrónica, Escuela Técnica Superior de Ingeniería Informática, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain.
Sensors (Basel). 2018 Aug 3;18(8):2550. doi: 10.3390/s18082550.
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.
提出了一种用于细胞培养实时监测的智能传感器系统，可显著减少用于此类检测的人工。该方法将受测试的细胞培养物转化为合适的“生物”振荡器。该系统通过安全的 Web 界面实现“生物”振荡信号的远程采集和管理。间接观察到的生物特性是细胞生长和细胞数量，它们与测量的生物振荡信号参数（即频率和幅度）直接相关。传感器利用微控制器的特性提取信息，而无需用于采集和测量的复杂电路。本文还介绍了用于传感和远程监控的离散原型以及从所进行的测量中获得的实验结果，实现了预期的性能和结果。
