In the field of cancer research, obtaining comprehensive spatial data across various metabolic pathways is imperative for identifying potential biomarkers and therapeutic targets, given the significant roles played by altered metabolism and metabolic reprogramming in cancer progression. Thus we next applied MALDI-2-MSI to investigate a tumour bearing mouse liver tissue section. Fig. shows the H&E stained optical image with annotations of the tumour mass and surrounding normal liver tissue. Fig. shows that the m/z 146.0461 ion assigned as To follow, we applied a co-localisation analysis to the tumour region visible via histology (Fig. ) and extracted ions with a Pearson correlation coefficient for the tumour region ≥0.6.