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Title: Investigation of signal processing techniques for impedance spectroscopy applied to biological systems
Author: Wang, Zhi Yan
ISNI:       0000 0004 2740 2720
Awarding Body: University of the West of England, Bristol
Current Institution: University of the West of England, Bristol
Date of Award: 2011
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The topic of this thesis is the investigation of signal processing techniques for impedance spectroscopy applied to biological systems. The term "biological systems" is referred as a cell culture in which cells covered on the surface of an insulator or are suspended in a cell culture solution. The impedance characteristics of the cell culture are usually measured at an electrode-solution interface. In this thesis, a UWE measurement system was developed for cell toxicity monitoring, where the system is non-contact with the cell culture. This has the advantage of the impedance signal was collected directly and the system does not contaminate the cells in culture. Based on the equivalent circuit analysis, it was shown that the system could monitor the impedance changes of the electrode-insulator-solution interface. This thesis also investigated the use of robust signal processing techniques such as short-time Fourier transform, wavelet transform and Hilbert-Huang transform for the identification and characterization of a cell culture response to a toxin over a wide frequency range. Based on the observation that morphology changes occur when toxin acts on the cells, the algorithms studied demonstrated the capability of signal processing techniques to characterize the experimental signals within a time domain and detect the cellular response to a toxin. The research adds to the understanding of the how impedance changes are related to the cell activity and demonstrate a cell response to a toxin using impedance sensors. It is expected that this development in impedance measurement technique would be a useful non-invasive, sensitive, quantitative and cost-effective tool in drug development studies.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available