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Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations.

Pablo PérezGloria HuertasAlberto OlmoAndrés Maldonado-JacobiJuan A SerranoMaría E MartínPaula DazaAlberto Yúfera
Published in: Sensors (Basel, Switzerland) (2018)
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.
Keyphrases
  • high frequency
  • endothelial cells
  • single cell
  • high throughput
  • working memory
  • cell therapy
  • type diabetes
  • stem cells
  • healthcare
  • induced pluripotent stem cells
  • metabolic syndrome
  • drug induced