Software Open Access
SampleSlicer: Graphical transformation of 4D tomographic data
Williams, John W;
Larson, Natalie M.
SampleSlicer is a tool written in python designed to enable the transformation of arbitrary 3D or 4D datasets loaded as a set of image stacks. SampleSlicer was initially designed for use in a scientific experiment involving time-series X-ray computed tomography (XCT) images which contain multiple independent specimens (microtubes) embedded in a single experimental dataset. The tool provides a GUI for drawing rectangles bounding the tubes at specified slices and time points. Information about the rectangle location and orientation in space and time is used to crop, align and rotate each individual microtube and ultimately create 4D hyperstacks of each tube for enhanced data exploration and analysis.
The complete documentation and package information can be accessed found the Python Package Index (PyPI), accessed via: https://pypi.org/project/sampleslicer/
| Name | Size | |
|---|---|---|
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Microtube_analysis_info_slide.pdf
md5:f57b468dfc6933caea88cc3a2ebbf90d |
233.7 kB | Download |
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sampleslicer-1.0.0-py3-none-any.whl
md5:67994b495ad7a259b8ea632b4445c928 |
40.8 kB | Download |
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sampleslicer-1.0.0.tar.gz
md5:62f24cb52d5d3be0ec57742334eda016 |
40.1 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 69 | 69 |
| Downloads | 44 | 44 |
| Data volume | 9.9 MB | 9.9 MB |
| Unique views | 51 | 51 |
| Unique downloads | 32 | 32 |
- Publication date:
- January 11, 2022
- DOI:
-
- Keyword(s):
- XCT 3D 4D image processing X-ray computed tomography quaternion
- License (for files):
- GNU General Public License v3.0 or later