Releases: DiamondLightSource/SuRVoS
Releases · DiamondLightSource/SuRVoS
Version 1.5.3
This latest version of SuRVoS has a number of bug fixes and improvements.
- Updates code to Python 3
- Adds ability to save trained classifiers (along with filter and supervoxel settings). These can then be used to segement new data.
- Directory locations for data loading/workspaces persisit between sessions.
- Support for 4K displays.
- Up to 10 undos when annotating (previously 1).
- Fixes for a number of bugs that caused crashes.
Version 1.0
SuRVoS (Super-Region Volume Segmentation) Workbench is a new software for semi-automated segmentation of 3D image volumes. It has been developed jointly between the University of Nottingham, UK and Diamond Light Source, UK and is open source: https://diamondlightsource.github.io/SuRVoS/
SuRVoS can be used on volume data from a variety of techniques, e.g. electron tomography, SEM, cryo soft X-ray tomography, and with no restrictions on sample type. It provides high-level filtering and machine learning algorithms for feature detection and model training. It also provides super-region building for smarter, quicker segmentation and a set of tools for data analysis.