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

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Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., 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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