Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry
Sun, Tao, Green, Nicolas G. and Morgan, Hywel (2008) Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry. At 7th IEEE Sensors Conference, Lecce, IT, 26 - 29 Oct 2008.
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In this paper we show how adaptive line enhancer is used in single cell impedance measurement to remove noise. ALE can deccorrelate and remove broadband noise from raw experimental data, improving the signal-to-noise ratio of the system. This improvement is significant for multi-frequency measurements using pseudorandom noise stimulation. The noise-polluted impedance signal of single human red blood cells in the raw data can be clearly identified after the process of ALE.
|Item Type:||Conference or Workshop Item (Speech)|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > NANO
|Date Deposited:||21 Oct 2008 09:54|
|Last Modified:||25 Apr 2012 11:32|
|Contributors:||Sun, Tao (Author)
Green, Nicolas G. (Author)
Morgan, Hywel (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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