Premium
Data processing pipeline for serial femtosecond crystallography at SACLA
Author(s) -
Nakane Takanori,
Joti Yasumasa,
Tono Kensuke,
Yabashi Makina,
Nango Eriko,
Iwata So,
Ishitani Ryuichiro,
Nureki Osamu
Publication year - 2016
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s1600576716005720
Subject(s) - pipeline (software) , computer science , femtosecond , laser , computer hardware , optics , computer graphics (images) , computational science , physics , operating system
A data processing pipeline for serial femtosecond crystallography at SACLA was developed, based on Cheetah [ Barty et al. (2014). J. Appl. Cryst. 47 , 1118–1131] and CrystFEL [ White et al. (2016). J. Appl. Cryst. 49 , 680–689]. The original programs were adapted for data acquisition through the SACLA API, thread and inter‐node parallelization, and efficient image handling. The pipeline consists of two stages: The first, online stage can analyse all images in real time, with a latency of less than a few seconds, to provide feedback on hit rate and detector saturation. The second, offline stage converts hit images into HDF5 files and runs CrystFEL for indexing and integration. The size of the filtered compressed output is comparable to that of a synchrotron data set. The pipeline enables real‐time feedback and rapid structure solution during beamtime.