Silvia Guglietta

MIMIC is a pipeline that integrates Mass Spectrometry Imaging and Imaging Mass Cytometry to analyze spatial omics data, recovering known molecular associations and revealing novel spatial relationships.

This study compares two workflows for integrating imaging mass cytometry (IMC) and sialic-acid-linkage-resolving N-glycan MALDI-MSI on the same tissue section, finding that IMC-first acquisition preserves antibody signal and glycan integrity.

The paper compares T-cell counts and spatial patterns in colorectal adenomas and sessile serrated lesions, finding differences in T-cell infiltration and clustering by lesion type.

The paper improves cell typing in imaging mass cytometry by addressing spillover through spatial smoothing and marker aggregation techniques.