Volumetric Data
Volumetric data includes electron density maps, cryo-EM maps, and other 3D grid-based data. Use volumes to show experimental data or visualize molecular surfaces at different density levels.
MolViewSpec supports loading and visualizing volumetric data alongside molecular structures, which is essential for structural biology workflows.
Common Volume Types
Electron Density Maps
X-ray crystallography electron density maps (2Fo-Fc, Fo-Fc difference maps)
Use cases: Validate structure fitting, show experimental evidence, highlight ligand binding
Cryo-EM Maps
Electron microscopy density maps
Use cases: Show large assemblies, validate model building, display experimental data
Other 3D Data
Custom grid-based data (electrostatic potentials, molecular orbitals, etc.)
Supported Formats
MolViewSpec can load volumetric data in these formats: - CCP4/MAP - Standard crystallography format - DX/OpenDX - Text-based grid format - DSN6 - Binary density format
Basic Volume Loading
Volume Parameters
Isosurface Type
type:"isosurface"- Surface at specific density level
Styling
isovalue: Density threshold (typically 0.5-3.0 for electron density)color: Surface coloropacity: Transparency (0.0-1.0)
Example: Structure with Density
Multiple Contour Levels
Show different density levels with different colors:
Common Isovalue Ranges
Electron Density (X-ray)
- 2Fo-Fc maps: 1.0 - 1.5 σ (blue, shows overall structure)
- Fo-Fc positive: 2.5 - 3.0 σ (green, missing density)
- Fo-Fc negative: -2.5 to -3.0 σ (red, extra density)
Cryo-EM Maps
- Main map: 0.5 - 2.0 (varies by map quality)
- High confidence: 3.0+ (well-resolved regions)
PDBe Integration
PDBe provides electron density maps for X-ray structures:
Styling Tips
For Publication Figures
- Use lower opacity (0.2-0.4) for clarity
- Use muted colors (light blue, light grey)
- Consider single contour level to reduce visual clutter
For Analysis
- Use higher opacity (0.5-0.7) for better visibility
- Use contrasting colors for different maps
- Show multiple contours to assess density quality
Performance Considerations
Volumetric data files can be very large (100+ MB). Consider: - Using binary formats (CCP4, DSN6) instead of text (DX) - Cropping maps to regions of interest before loading - Adjusting isovalue to reduce surface complexity
See Also
- Official Volumes Documentation - Complete volume reference
- Tree Schema - Complete node reference
- PDBe Density Maps - Download electron density maps