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Adaptation of principal component analysis for continuous laser-induced fluorescence spectra decomposition. Krf excimer laser excitation examples

机译:连续激光诱导荧光光谱分解的主成分分析的适应性。 KRF准分子激光激发实例

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摘要

Laser-induced fluorescence (LIF) spectra of biological tissues spectra have continuous nature and can be statistically analyzed using principal components (PC) method. The disadvantage of this method is that PCs are abstract functions, alternating, giving both positive and negative contribution to the spectrum that it is impossible for the real fluorophores. In present paper the PC analysis was adapted to spectroscopy tasks by composing positive linear combinations of PCs corresponding to the peaks of the smallest width with the largest ratio of the spectral maximum to its integral across the measured wavelength range. This method was applied for the analysis of previously obtained LIF spectra of the intact teeth and teeth with caries, and spectra of aortal graft before and after decellularization. The representation of the principal components in the form of peaks with the smallest possible width allowed us to identify the number fluorophores contributing the spectra, their approximate spectra, to perform a statistical analysis of the data and its interpretation.
机译:生物组织光谱的激光诱导的荧光(LIF)光谱具有连续性,并且可以使用主成分(PC)方法统计分析。这种方法的缺点是PC是摘要功能,交替,给予实际荧光团不可能的频谱对阳性和负面贡献。在本文中,PC分析通过对应于最小宽度的峰值的PC的正线性组合来适应光谱任务,其光谱最大值与其积分的最小比率在测量的波长范围内。施加该方法用于分析先前获得的完整牙齿和牙齿的LIF光谱,在脱细胞化之前和之后主动物移植物的光谱。具有最小可能宽度的峰形式的主成分的表示允许我们识别有助于光谱,其近似光谱的数字荧光团,以对数据进行统计分析及其解释。

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