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Capítulos
- 00:05Título
- 00:53Preparing the Workplace, Data Representation, and Generating Appropriate Super-regions
- 03:19Introduction to Annotation
- 04:12Segmentation Using Model Training
- 05:41Segmentation Using Super-regions
- 06:42Classifiction and Analysis of Data Objects Based on Inherent Characteristics
- 09:00Results: Model Training, Super-region Segmentation, and Label Splitting Using the SuRVoS Workbench
- 10:55Conclusion
Segmentation of three-dimensional data from many imaging techniques is a major bottleneck in analysis of complex biological systems. Here, we describe the use of SuRVoS Workbench to semi-automatically segment volumetric data at various length-scales using example datasets from cryo-electron tomography, cryo soft X-ray tomography, and phase contrast X-ray tomography techniques.
