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Issue 1, 2016
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Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks

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Abstract

Advanced data analysis tools are crucial for the application of ToF-SIMS analysis to biological samples. Here, we demonstrate that by using a training set approach principal components analysis (PCA) can be performed on large 3D ToF-SIMS images of neuronal cell cultures. The method readily provides access to sample component information and significantly improves the images’ signal-to-noise ratio (SNR).

Graphical abstract: Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks

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Publication details

The article was received on 26 Aug 2015, accepted on 20 Nov 2015 and first published on 20 Nov 2015


Article type: Communication
DOI: 10.1039/C5AN01743B
Citation: Analyst, 2016,141, 90-95
  • Open access: Creative Commons BY license
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    Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks

    S. Van Nuffel, C. Parmenter, D. J. Scurr, N. A. Russell and M. Zelzer, Analyst, 2016, 141, 90
    DOI: 10.1039/C5AN01743B

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