Developing the metrology of mass spectometry imaging: understanding the image formation process to enable improved quantitation

Cooper, Helen (Principal Investigator)
Styles, Iain (Co-Investigator)

Short title	Developing the metrology of mass spectometry imaging: understanding the image formation process to enable improved quantitation
Status	Finished
Effective start/end date	1/01/14 → 31/12/16

Funding

NPL MANAGEMENT LTD

1 Article

Testing for multivariate normality in mass spectrometry imaging data: A robust statistical approach for clustering evaluation and the generation of synthetic mass spectrometry imaging datasets
Dexter, A. J., Race, A. M., Styles, I. B. & Bunch, J., 15 Nov 2016, In: Analytical Chemistry. 88, 22, p. 10893-10899 21 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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9 Citations (Scopus)

300 Downloads (Pure)

Testing for multivariate normality in mass spectrometry imaging data: A robust statistical approach for clustering evaluation and the generation of synthetic mass spectrometry imaging datasets
Styles, I. (Creator), University of Birmingham, 2016
DOI: 10.25500/eData.bham.00000052, http://epapers.bham.ac.uk/3034/
Dataset