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CLC number: Q27

On-line Access: 2010-04-28

Received: 2009-11-02

Revision Accepted: 2010-03-03

Crosschecked: 2010-04-17

Cited: 3

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Journal of Zhejiang University SCIENCE B 2010 Vol.11 No.5 P.323-331


Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising

Author(s):  Qing-jun Liu, Wei-wei Ye, Hui Yu, Ning Hu, Li-ping Du, Ping Wang

Affiliation(s):  Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China, State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China

Corresponding email(s):   cnpwang@zju.edu.cn

Key Words:  Neurochip, Light-addressable potentiometric sensor (LAPS), Wavelet transform, Threshold, De-noising

Qing-jun Liu, Wei-wei Ye, Hui Yu, Ning Hu, Li-ping Du, Ping Wang. Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising[J]. Journal of Zhejiang University Science B, 2010, 11(5): 323-331.

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author="Qing-jun Liu, Wei-wei Ye, Hui Yu, Ning Hu, Li-ping Du, Ping Wang",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising
%A Qing-jun Liu
%A Wei-wei Ye
%A Hui Yu
%A Ning Hu
%A Li-ping Du
%A Ping Wang
%J Journal of Zhejiang University SCIENCE B
%V 11
%N 5
%P 323-331
%@ 1673-1581
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B0900349

T1 - Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising
A1 - Qing-jun Liu
A1 - Wei-wei Ye
A1 - Hui Yu
A1 - Ning Hu
A1 - Li-ping Du
A1 - Ping Wang
J0 - Journal of Zhejiang University Science B
VL - 11
IS - 5
SP - 323
EP - 331
%@ 1673-1581
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B0900349

neurochip based on light-addressable potentiometric sensor (LAPS), whose sensing elements are excitable cells, can monitor electrophysiological properties of cultured neuron networks with cellular signals well analyzed. Here we report a kind of neurochip with rat pheochromocytoma (PC12) cells hybrid with LAPS and a method of de-noising signals based on wavelet transform. Cells were cultured on LAPS for several days to form networks, and we then used LAPS system to detect the extracellular potentials with signals de-noised according to decomposition in the time-frequency space. The signal was decomposed into various scales, and coefficients were processed based on the properties of each layer. At last, signal was reconstructed based on the new coefficients. The results show that after de-noising, baseline drift is removed and signal-to-noise ratio is increased. It suggests that the neurochip of PC12 cells coupled to LAPS is stable and suitable for long-term and non-invasive measurement of cell electrophysiological properties with wavelet transform, taking advantage of its time-frequency localization analysis to reduce noise.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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