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

Van Nuffel, Sebastiaan and Parmenter, Christopher D.J. and Scurr, David J. and Russell, Noah A. and Zelzer, Mischa (2015) Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks. Analyst, 141 (1). pp. 90-95. ISSN 1364-5528

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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).

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/765794
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Pharmacy
Identification Number: https://doi.org/10.1039/c5an01743b
Related URLs:
URLURL Type
https://rdmc.nottingham.ac.uk/handle/internal/54Dataset
Depositing User: Van Nuffel, Sebastiaan
Date Deposited: 11 Dec 2015 09:10
Last Modified: 04 May 2020 17:22
URI: https://eprints.nottingham.ac.uk/id/eprint/31033

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