--- name: tem-image-analyzer description: Transmission Electron Microscopy image analysis skill for nanoparticle size, morphology, and crystallography assessment allowed-tools: - Read - Write - Glob - Grep - Bash metadata: specialization: nanotechnology domain: science category: microscopy-characterization priority: high phase: 6 tools-libraries: - ImageJ/Fiji - Gatan DigitalMicrograph - JEMS - CryoSPARC --- # 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": "number", "mean_size": "number (nm)", "std_dev": "number (nm)", "size_distribution": {"bins": [], "counts": []} }, "morphology": { "shapes": [{"type": "string", "fraction": "number"}], "aspect_ratio": "number" }, "crystallography": { "phase": "string", "d_spacings": ["number (nm)"], "zone_axis": "string" } } ```