cytotoxicity-assay-analyzer

Solid

Nanotoxicology skill for in vitro cytotoxicity assessment and cell viability analysis

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
79
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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" }, "t...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills