# Nta Particle Tracker

> Nanoparticle Tracking Analysis skill for single-particle size and concentration measurements

- Skill: `a5c-ai/nta-particle-tracker` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/nta-particle-tracker`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/nta-particle-tracker/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/nta-particle-tracker

---


# 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"
}
```

