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首页> 外文期刊>Journal of Molecular Spectroscopy >Independent component analysis of photoacoustic depth profiles
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Independent component analysis of photoacoustic depth profiles

机译:光声深度剖面的独立分量分析

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摘要

Photoacoustic spectroscopy is a powerful tool to non-destructively retrieve depth related information with minimal sample preparation from heterogeneous samples. Using a phase modulated step-scan arrangement and digital signal processing a series of spectra with effectively different modulation frequencies, probing different thermal diffusion lengths within a sample, can be collected simultaneously. In this report independent component analysis is used to analyze photoacoustic data acquired from a multilayer sample in all attempt to isolate the spectra of the constituent layers. The ICA findings are compared to the approach of eliciting this information through difference spectroscopy. The results suggest that ICA may offer substantial benefits for segmentation of PAS depth profiles without user intervention. This approach call be useful in analysis of complex heterogeneous samples when one has no prior knowledge of their constituents or their distribution ill the sample. Crown Copyright (C) 2004 Published by Elsevier Inc. All rights reserved.
机译:光声光谱学是一种功能强大的工具,可以用最少的样本量从异质样品中进行非破坏性检索深度相关信息。使用相位调制的步进扫描装置和数字信号处理,可以同时收集具有有效不同调制频率的一系列光谱,从而探测样品中不同的热扩散长度。在本报告中,使用独立成分分析来分析从多层样品中获取的光声数据,所有尝试都是为了分离组成层的光谱。将ICA的发现与通过差异光谱法得出该信息的方法进行比较。结果表明,在无需用户干预的情况下,ICA可以为PAS深度剖面的分割提供实质性的好处。当人们不了解其组成或样品的分布情况时,这种方法在分析复杂的异质样品时很有用。 Crown版权所有(C)2004,由Elsevier Inc.出版。保留所有权利。

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