Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mokso, Rajmund, Schlepütz, Christian M., Theidel, Gerd, Billich, Heiner, Schmid, Elmar, Celcer, Tine, Mikuljan, Gordan, Sala, Leonardo, Marone, Federica, Schlumpf, Nick, Stampanoni, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2017
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
_version_ 1783275135257542656
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
work_keys_str_mv AT moksorajmund gigafrostthegigabitfastreadoutsystemfortomography
AT schleputzchristianm gigafrostthegigabitfastreadoutsystemfortomography
AT theidelgerd gigafrostthegigabitfastreadoutsystemfortomography
AT billichheiner gigafrostthegigabitfastreadoutsystemfortomography
AT schmidelmar gigafrostthegigabitfastreadoutsystemfortomography
AT celcertine gigafrostthegigabitfastreadoutsystemfortomography
AT mikuljangordan gigafrostthegigabitfastreadoutsystemfortomography
AT salaleonardo gigafrostthegigabitfastreadoutsystemfortomography
AT maronefederica gigafrostthegigabitfastreadoutsystemfortomography
AT schlumpfnick gigafrostthegigabitfastreadoutsystemfortomography
AT stampanonimarco gigafrostthegigabitfastreadoutsystemfortomography