Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill nta-particle-tracker --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Nta Particle Tracker?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/a5c-ai-nta-particle-tracker-babysitter)More formats (shields.io, HTML) on the badges page.
---
name: nta-particle-tracker
description: Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: microscopy-characterization
priority: medium
phase: 6
tools-libraries:
- NanoSight NTA software
- ZetaView software
graph:
domains: [domain:nanotechnology]
skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer]
---
# 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"
}
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!