Full-field Tomography at PSI
This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data.
If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the...
Keywords: synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension
Resource type: workflow
Full-field Tomography at PSI
https://pan-training.eu/workflows/backup-fork-of-full-field-tomography-at-psi-wip#workflow
https://pan-training.eu/materials/full-field-tomography-at-psi
This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data.
If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the Pulmonary arterial hypertension research workflow.
Full-field Tomography at PSI
Tomography datasets often present large volumes (100 GBs - few TBs) difficult to compress and transfer. The tomographic reconstruction is highly demanding on compute (GPU) and storage resources for the intermediate and/or final result. In addition, the optional image segmentation step may be demanding on computer memory.
The offline analysis (after experiment) could be performed remotely by users at home making it attractive for deployment as a cloud-like use case. Finally, this technique is applied at many facilities and in different scientific domains - therefore a portable result is more useful.
This entire process is illustrated with a typical experiment.
synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension
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