bio-flow-cytometry-cytometry-qc
Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-cytometry-qc --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: flowCore 2.14+, ggplot2 3.5+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Cytometry QC **"Run quality control on my flow cytometry data"** → Assess acquisition quality by checking flow rate stability, signal drift, margin events, and dead cell frequencies to identify problematic samples. - R: `flowAI::flow_auto_qc()` for automated anomaly detection ## Automated QC with flowAI ```r library(flowAI) library(flowCore) # Load FCS file ff <- read.FCS('sample.fcs') # Run automated QC # Checks: flow rate, signal stability, dynamic range qc_result <- flow_auto_qc( ff, folder_results = 'qc_output/', fcs_QC = TRUE, # Export QC'd FCS html_report = TRUE, # Generate HTML report mini_report = TRUE # Also make summary ) # Get cleaned data ff_clean <- qc_result$fcs # QC metrics cat('Original events:', nrow(ff), '\n') cat('After QC:', nrow(ff_clean), '\n') cat('Removed:', nrow(
- Version Compatibility
- Automated QC with flowAI
- Flow Rate Stability
- Signal Drift Detection
- Margin Events Removal
- Dead Cell Exclusion
- CyTOF-Specific QC
- Batch QC Summary
- Visualization
- QC Report Generation
- Related Skills
What does the bio-flow-cytometry-cytometry-qc skill do?
Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-cytometry-qc --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.