Research on accuracy and optimization for some baseline removal algorithms for high-throughput experiments

Zhenyao Li; Yu Zhu; Shengxing Song; Zhanqiang Ru; Zhizheng Yin; Nan Liu; Peng Ding; Fei Wu; Helun Song

doi:10.1117/12.3004264

18 December 2023 Research on accuracy and optimization for some baseline removal algorithms for high-throughput experiments

Zhenyao Li, Yu Zhu, Shengxing Song, Zhanqiang Ru, Zhizheng Yin, Nan Liu, Peng Ding, Fei Wu, Helun Song

Author Affiliations +

Proceedings Volume 12962, AOPC 2023: Optical Spectroscopy and Imaging; and Atmospheric and Environmental Optics; 1296204 (2023) https://doi.org/10.1117/12.3004264
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

This article describes data processing for background removal, peak matching in spectrum analyses for experiments such as high-throughput experiments, which is subtracting background function from original data. We tested algorithms such as polynomial method, Whittaker-smoothing-based method, spline and morphological method, and make comparison among these common-used background removal algorithm. Using variable control for main parameters in each algorithm, and Euclidean norm for measuring the distance between original data and baseline function. We get the conclusion that morphological takes advantage in that its baseline function is nearest to original data. By analyzing theory, factor choosing and effectiveness, it is clear that regional graphic procedure and segment procedure are more effective. So further experience aim is determined.

Citation Download Citation

Zhenyao Li, Yu Zhu, Shengxing Song, Zhanqiang Ru, Zhizheng Yin, Nan Liu, Peng Ding, Fei Wu, and Helun Song "Research on accuracy and optimization for some baseline removal algorithms for high-throughput experiments", Proc. SPIE 12962, AOPC 2023: Optical Spectroscopy and Imaging; and Atmospheric and Environmental Optics, 1296204 (18 December 2023); https://doi.org/10.1117/12.3004264

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KEYWORDS

Mathematical optimization

Matrices

Data processing

Binary data

Convolution

Distance measurement

Image segmentation

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