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Updated: Feb 21, 2026

Shotgun Lipidomics of Rodent Tissues
Published on: November 18, 2022
massPix: an R package for annotation and interpretation of mass spectrometry imaging data for lipidomics
Nicholas J Bond1, Albert Koulman1, Julian L Griffin1,2
1MRC Human Nutrition Research, 120 Fulbourn Road, Cambridge, CB1 9NL UK.
Introduction:
Mass spectrometry imaging (MSI) experiments result in complex multi-dimensional datasets, which require specialist data analysis tools.
Objectives:
We have developed massPix-an R package for analysing and interpreting data from MSI of lipids in tissue.
Methods:
massPix produces single ion images, performs multivariate statistics and provides putative lipid annotations based on accurate mass matching against generated lipid libraries.
Results:
Classification of tissue regions with high spectral similarly can be carried out by principal components analysis (PCA) or k-means clustering.
Conclusion:
massPix is an open-source tool for the analysis and statistical interpretation of MSI data, and is particularly useful for lipidomics applications.
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