Issue 1, 2016

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

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

Supplementary files

Article information

Article type
Communication
Submitted
26 Aug 2015
Accepted
20 Nov 2015
First published
20 Nov 2015
This article is Open Access
Creative Commons BY license

Analyst, 2016,141, 90-95

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

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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