Digital signal processing methods for impedance microfluidic cytometry


Sun, Tao, van Berkel, Cees, Green, Nicolas G and Morgan, Hywel (2009) Digital signal processing methods for impedance microfluidic cytometry. MICROFLUIDICS AND NANOFLUIDICS, 6, 179-187.

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Description/Abstract

Impedance microfluidic cytometry is a non-invasive, label-free technology that can characterize the dielectric properties of single particles (beads/cells) at high speed. In this paper we show how digital signal processing methods are applied to the impedance signals for noise removal and signal recovery in an impedance microfluidic cytometry. Two methods are used; correlation to identify typical signals from a particle and for a noisier environment, an adaptive filter is used to remove noise. The benefits of adaptive filtering are demonstrated quantitatively from the correlation coefficient and signal-to-noise ratio. Finally, the adaptive filtering method is compared to the Savitzky-Golay filtering method.

Item Type: Article
Additional Information: Imported from ISI Web of Science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > NANO
ePrint ID: 270651
Date Deposited: 21 Apr 2010 07:46
Last Modified: 27 Mar 2014 20:15
Publisher: Springer
Further Information:Google Scholar
ISI Citation Count:17
URI: http://eprints.soton.ac.uk/id/eprint/270651

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