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Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Trascrizione

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.

Capitoli in questo video

0:05

Title

0:53

Preparing the Workplace, Data Representation, and Generating Appropriate Super-regions

3:19

Introduction to Annotation

4:12

Segmentation Using Model Training

5:41

Segmentation Using Super-regions

6:42

Classifiction and Analysis of Data Objects Based on Inherent Characteristics

9:00

Results: Model Training, Super-region Segmentation, and Label Splitting Using the SuRVoS Workbench

10:55

Conclusion

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