Search

Your search keyword '"Parmenter, Christopher D.J."' showing total 4 results
Start Over Author "Parmenter, Christopher D.J." Publisher royal society of chemistry
4 results on '"Parmenter, Christopher D.J."'

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

Author

Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., Zelzer, Mischa, Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., and Zelzer, Mischa

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).

Full Text
View/download PDF

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

Author

Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., Zelzer, Mischa, Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., and Zelzer, Mischa

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).

Full Text
View/download PDF

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

Author

Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., Zelzer, Mischa, Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., and Zelzer, Mischa

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).

Full Text
View/download PDF

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

Author

Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., Zelzer, Mischa, Van Nuffel, Sebastiaan, Parmenter, Christopher D.J., Scurr, David J., Russell, Noah A., and Zelzer, Mischa

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).

Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results