Hyperspectral Visualization of Mass Spectrometry Imaging Data

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• 作者：Judith M. Fonville ; Claire L. Carter ; Luis Pizarro ; Rory T. Steven ; Andrew D. Palmer ; Rian L. Griffiths ; Patricia F. Lalor ; John C. Lindon ; Jeremy K. Nicholson ; Elaine Holmes ; Josephine Bunch
• 刊名：Analytical Chemistry
• 出版年：2013
• 出版时间：February 5, 2013
• 年：2013
• 卷：85
• 期：3
• 页码：1415-1423
• 全文大小：493K
• 年卷期：v.85,no.3(February 5, 2013)
• ISSN：1520-6882

文摘

The acquisition of localized molecular spectra with mass spectrometry imaging (MSI) has a great, but as yet not fully realized, potential for biomedical diagnostics and research. The methodology generates a series of mass spectra from discrete sample locations, which is often analyzed by visually interpreting specifically selected images of individual masses. We developed an intuitive color-coding scheme based on hyperspectral imaging methods to generate a single overview image of this complex data set. The image color-coding is based on spectral characteristics, such that pixels with similar molecular profiles are displayed with similar colors. This visualization strategy was applied to results of principal component analysis, self-organizing maps and t-distributed stochastic neighbor embedding. Our approach for MSI data analysis, combining automated data processing, modeling and display, is user-friendly and allows both the spatial and molecular information to be visualized intuitively and effectively.