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- users can choose what data they want to store in HDF5 (e.g. raw image data, calibrated)
- users can use python algorithms (e.g. saving only part of a camera Image) to reduce the output data volume which dramatically speeds up translation. It also potentially allows the hdf5 files to be moved to a laptop for further analysis.
- can be run in parallel on many cores
- datasets are guaranteed to be "aligned"
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