SEM-EDS Analyzer
SkillDev toolsScanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy skill for morphology and elemental analysis
Use SEM-EDS Analyzer in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the SEM-EDS Analyzer 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/sem-eds-analyzer/SKILL.md and read by Ahel’s review.
Purpose
The SEM-EDS Analyzer skill provides comprehensive scanning electron microscopy and energy dispersive X-ray spectroscopy analysis for nanomaterial morphology and elemental composition characterization.
Capabilities
- Automated SEM image analysis
- EDS spectrum acquisition and quantification
- Elemental mapping and line scans
- Particle size from SEM images
- Surface morphology characterization
- Cross-section analysis
Usage Guidelines
SEM-EDS Analysis
-
Image Acquisition
- Optimize accelerating voltage for sample
- Select appropriate detector (SE, BSE)
- Minimize charging artifacts
-
EDS Analysis
- Acquire spectra at appropriate kV
- Apply ZAF corrections
- Generate elemental maps
-
Quantification
- Use standardless or standards-based
- Report detection limits
- Account for matrix effects
Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Nanodevice Integration Process Flow
- Nanolithography Process Development
Input Schema
{
"sample_id": "string",
"analysis_type": "imaging|eds_point|eds_map|line_scan",
"accelerating_voltage": "number (kV)",
"elements_of_interest": ["string"]
}
Output Schema
{
"morphology": {
"features": ["string"],
"measurements": [{"feature": "string", "value": "number", "unit": "string"}]
},
"composition": [{
"element": "string",
"weight_percent": "number",
"atomic_percent": "number"
}],
"elemental_maps": [{
"element": "string",
"image_path": "string"
}]
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
sem-eds-analyzer- Source
- github.com/a5c-ai/babysitter