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Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry

Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry
Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry
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.
Sun, Tao
65fbe35a-ab15-4783-a5c3-54b2d05a9e38
Green, Nicolas G.
d9b47269-c426-41fd-a41d-5f4579faa581
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174
Sun, Tao
65fbe35a-ab15-4783-a5c3-54b2d05a9e38
Green, Nicolas G.
d9b47269-c426-41fd-a41d-5f4579faa581
Morgan, Hywel
de00d59f-a5a2-48c4-a99a-1d5dd7854174

Sun, Tao, Green, Nicolas G. and Morgan, Hywel (2008) Adaptive line enhancer assisted single cell identification in a pseudorandom noise-stimulated microflow-cytometry. 7th IEEE Sensors Conference, Italy. 26 - 29 Oct 2008.

Record type: Conference or Workshop Item (Other)

Abstract

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.

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More information

Published date: October 2008
Venue - Dates: 7th IEEE Sensors Conference, Italy, 2008-10-26 - 2008-10-29
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 266813
URI: https://eprints.soton.ac.uk/id/eprint/266813
PURE UUID: f5bdbcaf-0aa5-450f-a332-a5085cabec62
ORCID for Nicolas G. Green: ORCID iD orcid.org/0000-0001-9230-4455
ORCID for Hywel Morgan: ORCID iD orcid.org/0000-0003-4850-5676

Catalogue record

Date deposited: 21 Oct 2008 09:54
Last modified: 18 Jul 2019 00:57

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