Agent skill

cytotoxicity-assay-analyzer

Nanotoxicology skill for in vitro cytotoxicity assessment and cell viability analysis

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/cytotoxicity-assay-analyzer

Metadata

Additional technical details for this skill

phase
6
domain
science
category
applications
priority
high
specialization
nanotechnology
tools libraries
[
    "Plate reader analysis software",
    "Cell imaging analysis"
]

SKILL.md

Cytotoxicity Assay Analyzer

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

  1. Assay Selection

    • Choose appropriate viability assay
    • Consider nanoparticle interference
    • Include proper controls
  2. Data Analysis

    • Calculate percent viability
    • Fit dose-response curves
    • Determine IC50/EC50
  3. 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

json
{
  "nanomaterial": "string",
  "cell_line": "string",
  "assay_type": "mtt|mts|wst|live_dead|ldh",
  "concentrations": ["number"],
  "exposure_time": "number (hours)"
}

Output Schema

json
{
  "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"]
}

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