3 materials found
Keywords:
imaging
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
research data scientist
life scientists
Materials science in the virtual neutron facility
This short course allows you to investigate the properties of a rehargeable battery by neutron experiments at a virtual neutron faclity. Specifically you will investigate the various component of the battery by imaging, diffraction and quasi-elastic neutron scattering through a learning game.The...
Keywords: virtual neutron facility, material science, rechargeable battery, imaging, diffraction, quasi-elastic neutron scattering, neutron experiments
Resource type: Moodle course, e-learning
Materials science in the virtual neutron facility
https://pan-learning.org/moodle/course/view.php?id=24
https://pan-training.eu/materials/materials-science-in-the-virtual-neutron-facility
This short course allows you to investigate the properties of a rehargeable battery by neutron experiments at a virtual neutron faclity. Specifically you will investigate the various component of the battery by imaging, diffraction and quasi-elastic neutron scattering through a learning game.The game was developed as a collaboration between Labster and the group of Linda Udby at Niels Bohr Institite, University of Copenhagen. The development of the game was made possible by a grant in the Education 2016 project of University of Copenhagen.
virtual neutron facility, material science, rechargeable battery, imaging, diffraction, quasi-elastic neutron scattering, neutron experiments
IR spectromicroscopy and imaging with six decades of dynamic range
Speaker: Dr Ferenc Borondics, SMIS Beamline Manager, SOLEIL, France
Infrared spectroscopy has been in scientists’ toolbox for more than a century to obtain information about vibrational properties and low energy electrodynamics of materials. The beginning of the 80s brought the first...
Keywords: infrared spectromicroscopy, imaging
Resource type: video
IR spectromicroscopy and imaging with six decades of dynamic range
https://www.youtube.com/watch?v=tLL-V28CZ8A
https://pan-training.eu/materials/ir-spectromicroscopy-and-imaging-with-six-decades-of-dynamic-range
Speaker: Dr Ferenc Borondics, SMIS Beamline Manager, SOLEIL, France
Infrared spectroscopy has been in scientists’ toolbox for more than a century to obtain information about vibrational properties and low energy electrodynamics of materials. The beginning of the 80s brought the first commercial infrared microscopes to look into fine details. Far-field infrared spectromicroscopy had been pushed to its limits in the 90s at synchrotron facilities by exploiting the unrivaled quality of synchrotron radiation, i.e., low angular divergence and extremely high bandwidth. Synchrotron infrared spectromicroscopy beamlines provide diffraction-limited spatial resolution covering the whole IR range and enable experiments impossible otherwise. Later, the implementation of two-dimensional IR detectors allowed hyperspectral imaging of large samples with high spatial resolution. The turn of the century brought the advent of near-field IR techniques breaking through the diffraction limit. Combining high-brightness IR sources with atomic force microscopes to detect photothermal expansion or near-field scattering allows measurements hundreds of times below the diffraction limit reaching as high as ten-nanometer spatial resolution. Optically sampled photothermal spectromicroscopy has recently become available to bridge the resolution gap between the nanometer and micrometer range. We combine these techniques at the SMIS beamline to enable six orders of magnitude spatial dynamic range in infrared spectromicroscopy and support scientific discovery by exploiting the synchrotron source through commercial and custom instrumentation. In this talk, I will highlight discoveries made by SMIS staff and users enabled by the beamline’s capability and comment on the benefits of emerging, alternative sources.
infrared spectromicroscopy, imaging
PaN Community
beamline users
scientists