Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Royal Society of Chemistry
2015
|
| Online Access: | https://eprints.nottingham.ac.uk/31033/ |
| _version_ | 1848794113742209024 |
|---|---|
| author | Van Nuffel, Sebastiaan Parmenter, Christopher D.J. Scurr, David J. Russell, Noah A. Zelzer, Mischa |
| author_facet | Van Nuffel, Sebastiaan Parmenter, Christopher D.J. Scurr, David J. Russell, Noah A. Zelzer, Mischa |
| author_sort | Van Nuffel, Sebastiaan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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). |
| first_indexed | 2025-11-14T19:11:02Z |
| format | Article |
| id | nottingham-31033 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:11:02Z |
| publishDate | 2015 |
| publisher | Royal Society of Chemistry |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-310332020-05-04T17:22:08Z https://eprints.nottingham.ac.uk/31033/ Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks Van Nuffel, Sebastiaan Parmenter, Christopher D.J. Scurr, David J. Russell, Noah A. Zelzer, Mischa 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). Royal Society of Chemistry 2015-11-20 Article PeerReviewed 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 http://pubs.rsc.org/en/Content/ArticleLanding/2016/AN/C5AN01743B doi:10.1039/c5an01743b doi:10.1039/c5an01743b |
| spellingShingle | Van Nuffel, Sebastiaan Parmenter, Christopher D.J. Scurr, David J. Russell, Noah A. Zelzer, Mischa Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title | Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title_full | Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title_fullStr | Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title_full_unstemmed | Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title_short | Multivariate analysis of 3D ToF-SIMS images: method validation and application to cultured neuronal networks |
| title_sort | multivariate analysis of 3d tof-sims images: method validation and application to cultured neuronal networks |
| url | https://eprints.nottingham.ac.uk/31033/ https://eprints.nottingham.ac.uk/31033/ https://eprints.nottingham.ac.uk/31033/ |