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GigaFRoST: the gigabit fast readout system for tomography
Owing to recent developments in CMOS technology, it is now possible to exploit tomographic microscopy at third-generation synchrotron facilities with unprecedented speeds. Despite this rapid technical progress, one crucial limitation for the investigation of realistic dynamic systems has remained: a...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665295/ https://www.ncbi.nlm.nih.gov/pubmed/29091068 http://dx.doi.org/10.1107/S1600577517013522 |
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author | Mokso, Rajmund Schlepütz, Christian M. Theidel, Gerd Billich, Heiner Schmid, Elmar Celcer, Tine Mikuljan, Gordan Sala, Leonardo Marone, Federica Schlumpf, Nick Stampanoni, Marco |
author_facet | Mokso, Rajmund Schlepütz, Christian M. Theidel, Gerd Billich, Heiner Schmid, Elmar Celcer, Tine Mikuljan, Gordan Sala, Leonardo Marone, Federica Schlumpf, Nick Stampanoni, Marco |
author_sort | Mokso, Rajmund |
collection | PubMed |
description | Owing to recent developments in CMOS technology, it is now possible to exploit tomographic microscopy at third-generation synchrotron facilities with unprecedented speeds. Despite this rapid technical progress, one crucial limitation for the investigation of realistic dynamic systems has remained: a generally short total acquisition time at high frame rates due to the limited internal memory of available detectors. To address and solve this shortcoming, a new detection and readout system, coined GigaFRoST, has been developed based on a commercial CMOS sensor, acquiring and streaming data continuously at 7.7 GB s(−1) directly to a dedicated backend server. This architecture allows for dynamic data pre-processing as well as data reduction, an increasingly indispensable step considering the vast amounts of data acquired in typical fast tomographic experiments at synchrotron beamlines (up to several tens of TByte per day of raw data). |
format | Online Article Text |
id | pubmed-5665295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-56652952017-11-09 GigaFRoST: the gigabit fast readout system for tomography Mokso, Rajmund Schlepütz, Christian M. Theidel, Gerd Billich, Heiner Schmid, Elmar Celcer, Tine Mikuljan, Gordan Sala, Leonardo Marone, Federica Schlumpf, Nick Stampanoni, Marco J Synchrotron Radiat Research Papers Owing to recent developments in CMOS technology, it is now possible to exploit tomographic microscopy at third-generation synchrotron facilities with unprecedented speeds. Despite this rapid technical progress, one crucial limitation for the investigation of realistic dynamic systems has remained: a generally short total acquisition time at high frame rates due to the limited internal memory of available detectors. To address and solve this shortcoming, a new detection and readout system, coined GigaFRoST, has been developed based on a commercial CMOS sensor, acquiring and streaming data continuously at 7.7 GB s(−1) directly to a dedicated backend server. This architecture allows for dynamic data pre-processing as well as data reduction, an increasingly indispensable step considering the vast amounts of data acquired in typical fast tomographic experiments at synchrotron beamlines (up to several tens of TByte per day of raw data). International Union of Crystallography 2017-10-17 /pmc/articles/PMC5665295/ /pubmed/29091068 http://dx.doi.org/10.1107/S1600577517013522 Text en © Rajmund Mokso et al. 2017 http://creativecommons.org/licenses/by/2.0/uk/ 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.http://creativecommons.org/licenses/by/2.0/uk/ |
spellingShingle | Research Papers Mokso, Rajmund Schlepütz, Christian M. Theidel, Gerd Billich, Heiner Schmid, Elmar Celcer, Tine Mikuljan, Gordan Sala, Leonardo Marone, Federica Schlumpf, Nick Stampanoni, Marco GigaFRoST: the gigabit fast readout system for tomography |
title | GigaFRoST: the gigabit fast readout system for tomography |
title_full | GigaFRoST: the gigabit fast readout system for tomography |
title_fullStr | GigaFRoST: the gigabit fast readout system for tomography |
title_full_unstemmed | GigaFRoST: the gigabit fast readout system for tomography |
title_short | GigaFRoST: the gigabit fast readout system for tomography |
title_sort | gigafrost: the gigabit fast readout system for tomography |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665295/ https://www.ncbi.nlm.nih.gov/pubmed/29091068 http://dx.doi.org/10.1107/S1600577517013522 |
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