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Online dynamic flat-field correction for MHz microscopy data at European XFEL

Authors :
Sarlota Birnsteinova
Danilo E. Ferreira de Lima
Egor Sobolev
Henry J. Kirkwood
Valerio Bellucci
Richard J. Bean
Chan Kim
Jayanath C. P. Koliyadu
Tokushi Sato
Fabio Dall'Antonia
Eleni Myrto Asimakopoulou
Zisheng Yao
Khachiwan Buakor
Yuhe Zhang
Alke Meents
Henry N. Chapman
Adrian P. Mancuso
Pablo Villanueva-Perez
Patrik Vagovič
Source :
Journal of Synchrotron Radiation, Vol 30, Iss 6, Pp 1030-1037 (2023)
Publication Year :
2023
Publisher :
International Union of Crystallography, 2023.

Abstract

The high pulse intensity and repetition rate of the European X-ray Free-Electron Laser (EuXFEL) provide superior temporal resolution compared with other X-ray sources. In combination with MHz X-ray microscopy techniques, it offers a unique opportunity to achieve superior contrast and spatial resolution in applications demanding high temporal resolution. In both live visualization and offline data analysis for microscopy experiments, baseline normalization is essential for further processing steps such as phase retrieval and modal decomposition. In addition, access to normalized projections during data acquisition can play an important role in decision-making and improve the quality of the data. However, the stochastic nature of X-ray free-electron laser sources hinders the use of standard flat-field normalization methods during MHz X-ray microscopy experiments. Here, an online (i.e. near real-time) dynamic flat-field correction method based on principal component analysis of dynamically evolving flat-field images is presented. The method is used for the normalization of individual X-ray projections and has been implemented as a near real-time analysis tool at the Single Particles, Clusters, and Biomolecules and Serial Femtosecond Crystallography (SPB/SFX) instrument of EuXFEL.

Details

Language :
English
ISSN :
16005775
Volume :
30
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Journal of Synchrotron Radiation
Publication Type :
Academic Journal
Accession number :
edsdoj.5ce4980b807244d1b502b7567e83ff4f
Document Type :
article
Full Text :
https://doi.org/10.1107/S1600577523007336