Skip to main content
Fig. 1 | Journal of Cheminformatics

Fig. 1

From: rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation

Fig. 1

Main algorithmic foundations for the annotation of in-source fragments. A ISD can generate in-source fragments that overlap with endogenous lipids. The use of Lipid Occurrences (LO) and Spatial Correlation (C) allows rMSIfragment to rank the likelihood of isobaric lipid annotations. B General rMSIfragment flux diagram. C Two alternative decoy libraries based on highly unlikely adducts and fragmentation pathways (top) and non-animal/xenobiotic compounds (bottom)

Back to article page