Data & ReproBioinformatics & GenomicsFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

bio-flow-cytometry-cytometry-qc

Maintainer FreedomIntelligence · Last updated April 1, 2026

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.

OpenClawNanoClawAnalysisReproductionbio-flow-cytometry-cytometry-qc🧬 bioinformatics (gptomics bio-* suite)bioinformatics — immunoinformatics & flow cytometrycomprehensive

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-cytometry-qc

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

R: flowAI::flow_auto_qc() for automated anomaly detection.
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.
ff <- read.FCS('sample.fcs').

Source Doc

Excerpt From SKILL.md

Automated QC with flowAI

library(flowAI)
library(flowCore)

## 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
)

## QC metrics

cat('Original events:', nrow(ff), '\n')
cat('After QC:', nrow(ff_clean), '\n')
cat('Removed:', nrow(ff) - nrow(ff_clean), '(',
    round((1 - nrow(ff_clean)/nrow(ff)) * 100, 1), '%)\n')