Characteristics of five subpopulation leukocytes in single-cell levels based on partial principal component analysis coupled with Raman spectroscopy were proposed to recognize the biochemical features of five subpopulation leukocytes. Using wavelet transform, the reconstructed spectra of the low-frequency wavelet coefficients were used to perform multiple principal component analysis based on segmented spectral data wreathing cover at 720–800 cm–1, 840–994 cm–1, and 1010–1070 cm–1 wavenumbers, respectively. Our approach is promising since it enables to establish a better understanding of the underlying molecular difference between the subtypes of leukocytes in a label-free manner and to estimate the source of infection.

中文翻译：

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EXPRESS：基于偏主成分分析结合拉曼光谱的单细胞水平的五个亚群白细胞特征

提出了基于部分主成分分析结合拉曼光谱的单细胞水平的五个亚群白细胞的特征来识别五个亚群白细胞的生化特征。利用小波变换，利用重建的低频小波系数谱，基于720-800 cm-1、840-994 cm-1和1010-1070 cm-的分段光谱数据进行多主成分分析。 1 波数，分别。我们的方法很有前景，因为它能够以无标记的方式更好地了解白细胞亚型之间的潜在分子差异，并估计感染源。