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From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
This content is Free Access.
Chapters
- 00:05Title
- 02:04Manual Abstracted Model Generation
- 04:47Manual Tracing of Features of Interest
- 08:10Automated Density-based Segmentation
- 09:15Custom-tailored Automated Segmentation
- 09:41Results: Application of Four Segmentation Approaches to Example Data Sets
- 11:29Conclusion
The bottleneck for cellular 3D electron microscopy is feature extraction (segmentation) in highly complex 3D density maps. We have developed a set of criteria, which provides guidance regarding which segmentation approach (manual, semi-automated, or automated) is best suited for different data types, thus providing a starting point for effective segmentation.
Tags
Keywords: 3D Electron MicroscopyUltrastructural OrganizationSegmentationVisualizationQuantificationResin Embedded Stained Electron TomographyFocused Ion Beam- And Serial Block Face- Scanning Electron MicroscopyManual Model BuildingManual TracingSemi-automated ApproachesAutomated Custom-designed Segmentation AlgorithmsSurface RenderingQuantitative AnalysisTriage Scheme
