Journal article

A continuous wavelet transform algorithm for peak detection

Andrew Wee, David B Grayden, Yonggang Zhu, Karolina Petkovic-Duran, David Smith

ELECTROPHORESIS | WILEY | Published : 2008

Abstract

Contactless conductivity detector technology has unique advantages for microfluidic applications. However, the low S/N and varying baseline makes the signal analysis difficult. In this paper, a continuous wavelet transform-based peak detection algorithm was developed for CE signals from microfluidic chips. The Ridger peak detection algorithm is based on the MassSpecWavelet algorithm by Du et al. [Bioinformatics 2006, 22, 2059-2065], and performs a continuous wavelet transform on data, using a wavelet proportional to the first derivative of a Gaussian function. It forms sequences of local maxima and minima in the continuous wavelet transform, before pairing sequences of maxima to minima to de..

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University of Melbourne Researchers