Summary
| NxtomoLoader |
| Process category | Brief description | Computational demand (low, medium, high) | Comment(s) | Reference(s) | Common alternative process(es) |
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| loader | To load raw data from input file(s). | Depends on chunking. | Capable of handling the case of dark- and flat-field images being supplied in datasets stored in individual NeXus datasets. |
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Parameters
| Code Block |
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| title | Savu Configurator command |
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>>> disp 1 -avv
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1) NxtomoLoader(savu.plugins.loaders.full_field_loaders.nxtomo_loader)
A class for loading standard tomography data in Nexus format
1) preview : []
A slice list of required frames.
2) image_key_path : entry1/tomo_entry/instrument/detector/image_key
Path to the image key entry inside the nxs file.
3) name : tomo
The name assigned to the dataset.
4) 3d_to_4d : False
Set to true if this reshape is required.
5) flat : [None, None, 1]
Optional Path to the flat field data file, nxs path and scale value.
6) data_path : entry1/tomo_entry/data/data
Path to the data inside the file.
7) dark : [None, None, 1]
Optional path to the dark field data file, nxs path and scale value.
8) angles : None
A python statement to be evaluated or a file.
9) ignore_flats : None
List of batch numbers of flats (start at 1) to ignore.
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>>> |
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How to load dark- and flat-field data from individual NeXus datasets? |
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Configure Any standard tomography NeXus scan file in DLS stores all the images (i.e. sample projections as well as dark- and flat-field images) in a single dataset located at entry1/tomo_entry/data/data, which is accompanied by another dataset with the corresponding image-key information, located at entry1/tomo_entry/instrument/detector/image_key in the same file. Hence, the default values of NxtomoLoader's parameters have been selected to match this scenario. However, NxtomoLoader can be used to load dark- and flat-field data from individual NeXus datasets, if required. This can be done by modifying the flat and dark parameters appropriately (see the table above for more details).