tem-image-analyzer
SolidTransmission Electron Microscopy image analysis skill for nanoparticle size, morphology, and crystallography assessment
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# TEM Image Analyzer
## Purpose
The TEM Image Analyzer skill provides comprehensive analysis of transmission electron microscopy data for nanomaterial characterization, enabling automated particle detection, size distribution analysis, and crystallographic structure determination.
## Capabilities
- Automated particle detection and sizing
- Morphology classification
- Lattice fringe analysis
- Selected area electron diffraction (SAED) indexing
- High-resolution TEM (HRTEM) analysis
- STEM-HAADF imaging
## Usage Guidelines
### Image Analysis Workflow
1. **Particle Detection**
- Apply appropriate thresholding
- Use watershed for touching particles
- Count minimum 200 particles for statistics
2. **Size Measurement**
- Calibrate pixel size from scale bar
- Measure Feret diameter or equivalent circular diameter
- Report mean, standard deviation, distribution
3. **Crystallographic Analysis**
- Index SAED patterns to phase
- Measure d-spacings from lattice fringes
- Identify zone axis from HRTEM
## Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Statistical Particle Size Distribution Analysis
- In-Situ Characterization Experiment Design
## Input Schema
```json
{
"image_path": "string",
"analysis_type": "sizing|morphology|crystallography",
"scale_bar": {"length": "number", "pixels": "number"},
"expected_material": "string (for indexing)"
}
```
## Output Schema
```json
{
"particle_statistics": {
"count":...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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