Parsons, AD;
Price, SWT;
Wadeson, N;
Basham, M;
Beale, AM;
Ashton, AW;
Mosselmans, JFW;
(2017)
Automatic processing of multimodal tomography datasets.
Journal of Synchrotron Radiation
, 24
(1)
pp. 248-256.
10.1107/S1600577516017756.
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Abstract
With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source.
Type: | Article |
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Title: | Automatic processing of multimodal tomography datasets |
Event: | 9th International Workshop on X-Ray Radiation Damage to Biological Crystalline Samples |
Location: | Lund, SWEDEN |
Dates: | 09 March 2016 - 11 March 2016 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1107/S1600577516017756 |
Publisher version: | http://dx.doi.org/10.1107/S1600577516017756 |
Language: | English |
Additional information: | This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
Keywords: | Big data, multimodal, imaging, mapping, tomography, X-ray-diffraction, reconstruction, fluorescence, microscopy, cellulose, tomopy |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1556059 |
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