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.