Cytotoxicity Assay Analyzer
SkillDev toolsNanotoxicology skill for in vitro cytotoxicity assessment and cell viability analysis
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/cytotoxicity-assay-analyzer/SKILL.md and read by Ahel’s review.
Purpose
The Cytotoxicity Assay Analyzer skill provides comprehensive in vitro toxicity assessment of nanomaterials, enabling systematic evaluation of cell viability, determination of safe exposure levels, and identification of toxicity mechanisms.
Capabilities
- MTT/MTS/WST assay analysis
- Live/dead staining quantification
- IC50/EC50 calculation
- Dose-response curve fitting
- Cell morphology analysis
- Apoptosis/necrosis detection
Usage Guidelines
Cytotoxicity Assessment
-
Assay Selection
- Choose appropriate viability assay
- Consider nanoparticle interference
- Include proper controls
-
Data Analysis
- Calculate percent viability
- Fit dose-response curves
- Determine IC50/EC50
-
Result Interpretation
- Compare to benchmark materials
- Assess mechanism of toxicity
- Report with appropriate context
Process Integration
- Nanomaterial Safety Assessment Pipeline
- Nanoparticle Drug Delivery System Development
Input Schema
{
"nanomaterial": "string",
"cell_line": "string",
"assay_type": "mtt|mts|wst|live_dead|ldh",
"concentrations": ["number"],
"exposure_time": "number (hours)"
}
Output Schema
{
"viability_data": [{
"concentration": "number",
"viability": "number (%)",
"std_dev": "number"
}],
"dose_response": {
"ic50": "number",
"ic50_unit": "string",
"hill_slope": "number",
"r_squared": "number"
},
"toxicity_classification": "string",
"mechanism_indicators": ["string"]
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
cytotoxicity-assay-analyzer- Source
- github.com/a5c-ai/babysitter