On-chip electrical impedance tomography for imaging biological cells

Sun, Tao, Tsuda, Soichiro, Zauner, Klaus-Peter and Morgan, Hywel (2010) On-chip electrical impedance tomography for imaging biological cells. Biosensors & Bioelectronics, 25, (5), 1109-1115. (doi:10.1016/j.bios.2009.09.036).


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Electrical impedance tomography is an imaging technology that spatially characterizes the electrical properties of an object. We present a miniaturized electrical impedance tomography system that can image the electrical conductivity distribution within a two-dimensional cell culture. A chip containing a circular 16-electrode array was fabricated using printed circuit board developing technology and used to inject current and to measure spatial voltage across the object. The signal stimulation and voltage data acquisition were performed using an impedance analyzer, operating in four-electrode mode. An open source software, EIDORS was used for image reconstruction. Finite element modelling was used to simulate the image reconstruction process by imaging two ellipsoidal phantoms in the circular 16-electrode array. The effect of the regularization parameter in the reconstruction algorithm and the influence from noise on the fidelity of the images has been numerically analyzed. Experimentally, we show reconstructed images of a multi-nuclear single cellular organism, Physarum Polycephalum, demonstrating the first step towards impedance imaging of single cells in culture. Our system provides a non-invasive lab-on-a-chip technology for spatially mapping the electrical properties of single cells, which would be significant and useful for diagnostic and clinical applications. (C) 2009 Elsevier B.V. All rights reserved.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.bios.2009.09.036
ISSNs: 2155-6210 (print)
Keywords: electrical impedance tomography, cell culture, cell imaging, lab-on-a-chip
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > NANO
ePrint ID: 270750
Accepted Date and Publication Date:
15 January 2010Published
2 October 2009Made publicly available
Date Deposited: 21 Apr 2010 07:45
Last Modified: 31 Mar 2016 14:17
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/270750

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