nta-particle-tracker
Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Best use case
nta-particle-tracker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Teams using nta-particle-tracker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nta-particle-tracker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nta-particle-tracker Compares
| Feature / Agent | nta-particle-tracker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# NTA Particle Tracker
## Purpose
The NTA Particle Tracker skill provides single-particle tracking analysis for nanoparticle size and concentration measurements, offering particle-by-particle characterization through direct visualization.
## Capabilities
- Single-particle tracking
- Size-concentration profiles
- Fluorescence NTA mode
- Real-time size distribution
- Particle count and concentration
- Sample heterogeneity assessment
## Usage Guidelines
### NTA Measurement
1. **Sample Preparation**
- Dilute to 10^7-10^9 particles/mL
- Avoid air bubbles
- Use appropriate buffer
2. **Acquisition**
- Optimize camera level
- Set detection threshold
- Record multiple videos
3. **Analysis**
- Track minimum 1000 particles
- Set minimum track length
- Generate size-concentration plot
## Process Integration
- Statistical Particle Size Distribution Analysis
- Nanoparticle Drug Delivery System Development
## Input Schema
```json
{
"sample_id": "string",
"mode": "scatter|fluorescence",
"dilution_factor": "number",
"capture_time": "number (seconds)",
"number_of_captures": "number"
}
```
## Output Schema
```json
{
"concentration": "number (particles/mL)",
"mean_size": "number (nm)",
"mode_size": "number (nm)",
"d10": "number (nm)",
"d50": "number (nm)",
"d90": "number (nm)",
"size_distribution": {"sizes": [], "counts": []},
"particles_tracked": "number"
}
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