期刊
ANALYTICAL CHEMISTRY
卷 85, 期 3, 页码 1415-1423出版社
AMER CHEMICAL SOC
DOI: 10.1021/ac302330a
关键词
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资金
- RSC PhD studentship
- EPSRC/RSC studentship
- EPSRC through the PSIBS Doctoral Training Centre at the University of Birmingham [EP/F50053X/1]
- Imperial NIHR BRC
- Medical Research Council [G0801056B] Funding Source: researchfish
- EPSRC [EP/F50053X/1] Funding Source: UKRI
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.
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