Next Article in Journal
Fabrication Technology and Characteristics Research of a Monolithically-Integrated 2D Magnetic Field Sensor Based on Silicon Magnetic Sensitive Transistors
Next Article in Special Issue
Ultrasound Sensors for Diaphragm Motion Tracking: An Application in Non-Invasive Respiratory Monitoring
Previous Article in Journal
Accurate Indoor Localization Based on CSI and Visibility Graph
Previous Article in Special Issue
Real-Time Early Warning System Design for Pluvial Flash Floods—A Review
Article Menu

Export Article

Open AccessArticle
Sensors 2018, 18(8), 2550; https://doi.org/10.3390/s18082550

Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations

1
Instituto de Microelectrónica de Sevilla, IMSE, CNM (Universidad de Sevilla, CSIC), Av. Américo Vespucio, SN, 41092 Sevilla, Spain
2
Departamento de Tecnología Electrónica, Escuela Técnica Superior de Ingeniería Informática, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain
3
Departamento de Electrónica y Electromagnetismo, Facultad de Física, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain
4
Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Av. Reina Mercedes, SN, 41012 Sevilla, Spain
*
Authors to whom correspondence should be addressed.
Received: 8 June 2018 / Revised: 12 July 2018 / Accepted: 1 August 2018 / Published: 3 August 2018
(This article belongs to the Special Issue Smart Sensing System for Real-Time Monitoring)
View Full-Text   |   Download PDF [3693 KB, uploaded 3 August 2018]   |  

Abstract

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. View Full-Text
Keywords: smart sensing; bioimpedance; cell culture; OBT; real-time monitoring smart sensing; bioimpedance; cell culture; OBT; real-time monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top