Ihc If Optimizer

Optimize IHC/IF protocols for specific tissues and antigens

Immunostaining protocol optimization.

Use Cases

• Brain tissue staining
• Liver antigen retrieval
• Antibody dilution optimization
• Fluorescence panel design

Parameters

Parameter	Type	Default	Required	Description
--tissue-type	string	-	Yes	Tissue type (Brain, Liver, Kidney, etc.)
--antigen	string	-	Yes	Target protein/antigen name
--detection-method	string	IHC	No	Detection method (IHC or IF)
--output, -o	string	stdout	No	Output file path
--format	string	text	No	Output format (text, json, markdown)

Returns

• Recommended retrieval method
• Antibody dilutions
• Blocking conditions
• Counterstain suggestions

Example

Brain tissue + Phospho-protein → Citrate retrieval, 1:200 antibody

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access	No external API calls	Low
File System Access	Read input files, write output files	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Output files saved to workspace	Low

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