NTA Particle Tracker
SkillDev toolsNanoparticle Tracking Analysis skill for single-particle size and concentration measurements
Use NTA Particle Tracker in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the NTA Particle Tracker skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/nta-particle-tracker/SKILL.md and read by Ahel’s review.
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
-
Sample Preparation
- Dilute to 10^7-10^9 particles/mL
- Avoid air bubbles
- Use appropriate buffer
-
Acquisition
- Optimize camera level
- Set detection threshold
- Record multiple videos
-
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
{
"sample_id": "string",
"mode": "scatter|fluorescence",
"dilution_factor": "number",
"capture_time": "number (seconds)",
"number_of_captures": "number"
}
Output Schema
{
"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"
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
nta-particle-tracker- Source
- github.com/a5c-ai/babysitter