A quantitative evaluation model of denoising methods for surface plasmon resonance imaging signal

Abstract We propose a quantitative evaluation model of denoising methods for surface plasmon resonance imaging (SPRI) signal. This model allows one to get the optimized denoising method. We can use the method to suppress the noise in SPRI signals effectively. In the demonstration of the model, we take wavelet transform based denoising methods as example to process SPRI signals constructed from theoretical simulated kinetic curves of biomolecular interactions. We find the mean square error (MSE) between the theoretical curves and the denoised kinetic curves from the optimized method approaches zero. Application of the optimized denoising method obtained from the model to SPRI signals helps to improve the resolution of SPRI instrument.

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