DLS Particle Sizer
SkillDev toolsDynamic Light Scattering skill for hydrodynamic size distribution and polydispersity 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 DLS Particle Sizer 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/dls-particle-sizer/SKILL.md and read by ahel’s review.
Purpose
The DLS Particle Sizer skill provides dynamic light scattering analysis for nanoparticle hydrodynamic size determination, enabling rapid, non-destructive measurement of size distributions and stability assessment.
Capabilities
- Hydrodynamic diameter measurement
- Polydispersity index (PDI) calculation
- Size distribution analysis (intensity, volume, number)
- Temperature-dependent measurements
- Multi-angle DLS analysis
- Particle concentration estimation
Usage Guidelines
DLS Measurement
-
Sample Preparation
- Dilute to appropriate concentration
- Filter to remove dust
- Equilibrate temperature
-
Data Analysis
- Use cumulants for monomodal samples
- Apply CONTIN for multimodal
- Report intensity-weighted Z-average
-
Quality Metrics
- PDI < 0.1: Monodisperse
- PDI 0.1-0.3: Narrow distribution
- PDI > 0.3: Broad distribution
Process Integration
- Statistical Particle Size Distribution Analysis
- Nanoparticle Synthesis Protocol Development
- Nanoparticle Drug Delivery System Development
Input Schema
{
"sample_id": "string",
"solvent": "string",
"temperature": "number (C)",
"refractive_index": "number",
"viscosity": "number (cP)"
}
Output Schema
{
"z_average": "number (nm)",
"pdi": "number",
"distribution": {
"intensity": {"peaks": [{"size": "number", "percent": "number"}]},
"volume": {"peaks": [{"size": "number", "percent": "number"}]},
"number": {"peaks": [{"size": "number", "percent": "number"}]}
},
"quality_metrics": {
"intercept": "number",
"baseline": "number"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
dls-particle-sizer- Source
- github.com/a5c-ai/babysitter