Fluorescence Spectroscopy Analyzer
SkillDev toolsFluorescence spectroscopy skill for quantum dot characterization, FRET measurements, and photoluminescence analysis
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Fluorescence Spectroscopy Analyzer skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/fluorescence-spectroscopy-analyzer/SKILL.md and read by ahel’s review.
Purpose
The Fluorescence Spectroscopy Analyzer skill provides comprehensive photoluminescence characterization of nanomaterials, enabling analysis of emission properties, quantum yields, and energy transfer processes.
Capabilities
- Excitation/emission spectra
- Quantum yield calculation
- Fluorescence lifetime measurements
- FRET efficiency calculation
- Photostability assessment
- Single-particle fluorescence
Usage Guidelines
Fluorescence Analysis
-
Spectral Measurements
- Acquire excitation and emission spectra
- Correct for instrument response
- Identify emission maxima
-
Quantum Yield
- Use integrating sphere or reference
- Account for reabsorption
- Report with standard
-
Lifetime Measurements
- Use TCSPC for time-resolved
- Fit decay curves
- Identify multiple components
Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Nanosensor Development and Validation Pipeline
- Nanoparticle Drug Delivery System Development
Input Schema
{
"sample_id": "string",
"excitation_wavelength": "number (nm)",
"measurement_type": "steady_state|time_resolved|quantum_yield",
"reference_standard": "string (optional)"
}
Output Schema
{
"emission": {
"peak_wavelength": "number (nm)",
"fwhm": "number (nm)",
"stokes_shift": "number (nm)"
},
"quantum_yield": {
"value": "number",
"method": "string",
"reference": "string"
},
"lifetime": {
"tau1": "number (ns)",
"amplitude1": "number",
"tau2": "number (ns, optional)",
"chi_squared": "number"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
fluorescence-spectroscopy-analyzer- Source
- github.com/a5c-ai/babysitter