Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (9): 1634-1637.doi: 10.3969/j.issn.1673-8225.2010.09.026

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Application of wavelet transform in quatum dot barcodes identification

Yang Jiu-min1,2, Gong Xiao-qun3, Zhang Qi3, Song Tao3, Liu Tie-gen1, Li Ying-xin2, Chang Jin3   

  1. 1School of Precision Instruments and Opto-engineering, Tianjin University, Tianjin  300072, China;
    2Laser Medicine Laboratory, Biomedical Engineering Department, Tianjin Medical University, Tianjin  300070, China;
    3Institute of Nanobiotechnology, School of Material Science and Engineering, Tianjin University, Tianjin   300072, China
  • Online:2010-02-26 Published:2010-02-26
  • Contact: Li Ying-xin, Professor, Doctoral supervisor, Laser Medicine Laboratory, Biomedical Engineering Department, Tianjin Medical University, Tianjin 300070, China yingxinli@ tijmu.edu.cn
  • About author:Yang Jiu-min, Studying for doctorate, Lecturer, School of Precision Instruments and Opto-engineering, Tianjin University, Tianjin 300072, China; Laser Medicine Laboratory, Biomedical Engineering Department, Tianjin Medical University, Tianjin 300070, China yangjm@tijmu.edu.cn
  • Supported by:

    the National High-Tech Research and Development Program of China (863 Program), No. 2007AA021808*

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Abstract:

BACKGROUND: To obtain more quantum dot (QD) barcodes, the overlay peaks of fluorescence occur, leading to difficulties in identifying QD barcodes. 
OBJECTIVE: To identify QD barcodes of two adjacent wave length using wavelet transform technique.
METHODS: Through the microscopy, the spectrum of fluorescence induced by 375 nm light was captured by spectroscopy. The spectral signal was split into multi-scale components by wavelet transform. After transformed by spline function, every component constructed a new spectrum with peaks expanded by inverse wavelet transform.
RESULTS AND CONCLUSION: Interpolation operation was performed on original data to control the data length to 2n. Following wavelet transform, peak location remained unchanged, so the eigenvalue of spectrum of coding fluorescence was extracted. The spectrum of fluorescence mixed with microspheres was split, and two QD barcodes were identified. The improved barcodes identification of adjacent spectrum increase color of QD barcodes, thereby enhancing code information volume. Results show that following spectrum was processed by wavelet transform, overlay peaks of fluorescence has be expanded, and enhanced the efficiency of recognition, which lays a foundation for detecting tumor markers.

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