Guided Super Resolution Outputs

Mass spectrometry imaging (MSI) is a powerful technique for spatially resolved analysis of metabolites and other biomolecules within biological tissues. However, the inherent low spatial resolution of MSI often limits its ability to obtain sub-cellular-level information. To address this limitation, we propose a guided super-resolution (GSR) approach that leverages Imaging Mass Cytometry (IMC) images to enhance the spatial granularity of MSI data. By using the detailed IMC images as guides, we achieve a five-fold increase in resolution, creating super-resolved 112 distinct metabolite maps of 85,762 single cells and 24 cell phenotypes across various colorectal cancer tumor samples. This enhancement facilitates more precise analysis of cellular structures and tissue architectures, providing deeper insights into tissue heterogeneity and cellular interactions within the tumor microenvironment through high-definition spatial metabolomics in individual cells.