Noise Reduction Method of Nanopore Based on Wavelet and Kalman Filter

Abstract

Nanopore detection technology has now developed into an indispensable tool for single molecule experiments, in which useful information on molecular properties can be obtained from the ion current flow induced by individual molecules, but the relatively high background noise affects the data analysis. Therefore, a nanopore signal noise reduction method based on wavelet transform and Kalman filter is proposed, which can achieve multi-scale decomposition and optimal estimation of the nanopore signal. The real measurement shows that the Kalman filter based on the wavelet mode maxima method reduces the root mean square (RMS) of the background noise by 17.8%, and the noise reduction effect is better than the traditional Kalman filter method.

Application of EMD combined with wavelet algorithm for filtering slag noise in steel cord conveyor belt

“…Wavelet threshold noise reduction selectively suppresses irrelevant signal components and enhances the useful ones [5][6]. The denoising process consists of the following specific steps: (2) Thresholding process: To acquire estimated wavelet coefficients, wavelet thresholding is performed on the decomposition coefficients of all the layers.…”

Research on Image Denoising in edge detection Based on Wavelet Transform

“…Hard thresholding has advantages in the sense of mean squared deviation. Soft thresholding functions, however, may produce jump points, while soft thresholding functions have better continuity but produce biases that affect the reconstructed signal [5,[23][24][25][26] . In this paper a hard thresholding function is chosen to process the coefficients, followed by wavelet reconstruction.…”

“…[1,2] At present, the Canny operator is theoretically sound, but it is sensitive to noise in the image. So in the application it is necessary to do appropriate filtering on the image first to eliminate the effect of noise on the original image, so that the edge detection effect of the Canny operator can be improved [3][4][5][6][7] .…”

Special Issue on Novel Technology and Applications of Micro/Nano Devices and System

“…Furthermore, the authors presented a preliminary validation of an electronic circuit based in a lock-in amplifier suitable for chlorophyll measurements, which can be adapted for detecting the fluorescence of primary photosynthetic pigments (chlorophyll a) and accessory pigments (carotene, chlorophyll b, phycoerythrin, phycocyanin, and others) present in microalgae and cyanobacteria to quantify different phytoplankton species [6]. Huang et al [7] reported a signal noise reduction method for nanopore-based detection technology, which is an indispensable tool for monitoring ion current flow in single molecule experiments. The authors showed that the new method for noise reduction offers a better performance than the traditional Kalman filter method and can have a great impact on the analysis of biomolecular properties [7].…”

“…Huang et al [7] reported a signal noise reduction method for nanopore-based detection technology, which is an indispensable tool for monitoring ion current flow in single molecule experiments. The authors showed that the new method for noise reduction offers a better performance than the traditional Kalman filter method and can have a great impact on the analysis of biomolecular properties [7].…”