flow-cytometry-cytometry-qc - Cytometry Quality Control and Cleaning
Quality control for flow, spectral, and mass cytometry including anomaly detection and data cleaning
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- detect flow-rate anomalies
- detect signal anomalies
- detect dynamic range anomalies
- remove margin events
- detect signal drift
- exclude dead cells
- perform CyTOF Gaussian checks
- perform CyTOF DNA checks
- perform CyTOF event-length checks
- flag batch-level outliers
Inputs
- FCS files
- marker channels
- viability dye channels
- CyTOF bead data
Outputs
- cleaned FCS files
- QC metrics
- outlier flags
- QC reports
Requirements
- R environment
- flowAI package
- PeacoQC package
- flowCore package
- CATALYST package