Open AccessGigaFRoST: the gigabit fast readout system for tomography
Author(s) -
Mokso Rajmund,
Schlepütz Christian M.,
Theidel Gerd,
Billich Heiner,
Schmid Elmar,
Celcer Tine,
Mikuljan Gordan,
Sala Leonardo,
Marone Federica,
Schlumpf Nick,
Stampai Marco
Publication year - 2017
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s1600577517013522
Subject(s) - computer science , gigabit , computer hardware , detector , exploit , data acquisition , synchrotron , raw data , cmos , tomographic reconstruction , reduction (mathematics) , frame rate , frame (networking) , embedded system , real time computing , electronic engineering , operating system , engineering , physics , iterative reconstruction , telecommunications , artificial intelligence , optics , computer security , programming language , geometry , mathematics
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).