Flow Panel Designer#

Fluorophore selection optimizer.

Use Cases#

• Multicolor panel design (10+ colors)
• Compensation planning
• Marker-fluorophore matching
• Spectral flow setup

Parameters#

ParameterTypeDefaultRequiredDescription--markersstring-YesComma-separated target antigens--instrumentstring-NoCytometer model--n-colorsint8NoNumber of fluorophores--output, -ostringstdoutNoOutput file path

Returns#

• Optimal fluorophore assignments
• Spillover predictions
• Compensation control list
• Panel validation checks

Example#

T-cell panel: CD3-BV421, CD4-FITC, CD8-PE...

Risk Assessment#

Risk IndicatorAssessmentLevelCode ExecutionPython/R scripts executed locallyMediumNetwork AccessNo external API callsLowFile System AccessRead input files, write output filesMediumInstruction TamperingStandard prompt guidelinesLowData ExposureOutput files saved to workspaceLow

Security Checklist#

• No hardcoded credentials or API keys
• No unauthorized file system access (../)
• Output does not expose sensitive information
• Prompt injection protections in place
• Input file paths validated (no ../ traversal)
• Output directory restricted to workspace
• Script execution in sandboxed environment
• Error messages sanitized (no stack traces exposed)
• Dependencies audited

Prerequisites#

No additional Python packages required.

Evaluation Criteria#

Success Metrics#

• Successfully executes main functionality
• Output meets quality standards
• Handles edge cases gracefully
• Performance is acceptable

Test Cases#

1. Basic Functionality: Standard input → Expected output
2. Edge Case: Invalid input → Graceful error handling
3. Performance: Large dataset → Acceptable processing time

Lifecycle Status#

• Current Stage: Draft

• Next Review Date: 2026-03-06

• Known Issues: None

• Planned Improvements:

  • Performance optimization
  • Additional feature support