Seumetry: a versatile and comprehensive R toolkit to accelerate high-dimensional flow and mass cytometry data analysis.

Seumetry accurately identifies immune cell populations in high-dimensional flow and mass cytometry data, aligning with manual gating and demonstrating robustness across datasets.

• Why it matters: High-dimensional cytometry data pose analysis challenges that limit the detection of unknown or minor cell populations, hindering biological insights and discoveries.
• What they did: Seumetry integrates cytometry-specific analysis methods with Seurat, a scRNAseq tool, offering advanced quality control, visualization, and differential abundance and expression analysis on complex datasets.
• The result: Seumetry enables comprehensive, scalable analysis of high-dimensional cytometry data, facilitating biological interpretation and validation through alignment with manual gating results.