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

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Abstract

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.

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Authors and Affiliations

  1. Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China

    Qing-jun Liu, Wei-wei Ye, Hui Yu, Ning Hu, Li-ping Du & Ping Wang

  2. State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China

    Qing-jun Liu & Ping Wang

Authors
  1. Qing-jun Liu
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  2. Wei-wei Ye
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  3. Hui Yu
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  4. Ning Hu
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  5. Li-ping Du
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  6. Ping Wang
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Corresponding author

Correspondence to Ping Wang.

Additional information

Project supported by the National Natural Science Foundation of China (Nos. 30700167 and 60725102), the Project of State Key Laboratory of Transducer Technology of China (No. SKT0702), the Zhejiang Provincial Natural Science Foundation of China (No. Y2080673), and the Scientific Research Fund of the Education Department of Zhejiang Province, China (No. Y200909323)

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Liu, Qj., Ye, Ww., Yu, H. et al. Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising. J. Zhejiang Univ. Sci. B 11, 323–331 (2010). https://doi.org/10.1631/jzus.B0900349

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  • DOI: https://doi.org/10.1631/jzus.B0900349

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