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: | , , , , |
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| Format: | Article |
| Published: |
Royal Society of Chemistry
2015
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| Online Access: | https://eprints.nottingham.ac.uk/31033/ |
| Summary: | 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). |
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