Reto Gerber

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 identifies synovial fibroblasts as key targets of JAK inhibition in RA and reveals cytokine- and drug-driven mechanisms affecting JAKi efficacy and safety.

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

The paper optimizes a dissociation protocol for fresh synovial biopsies and creates a single-cell reference map of human synovium in inflammatory arthritis, revealing new cell types and functions.

This paper meta-analyzes single-cell method benchmarks to identify challenges in extensibility, interoperability, and reproducibility.

The paper develops censcyt, an R package extending diffcyt to handle censored covariates in differential abundance analysis for cytometry data using generalized linear mixed models.