Online dynamic flat-field correction for MHz microscopy data at European XFEL.
MHz X-ray microscopy
X-ray free-electron laser
flat-field correction
online data processing
Journal
Journal of synchrotron radiation
ISSN: 1600-5775
Titre abrégé: J Synchrotron Radiat
Pays: United States
ID NLM: 9888878
Informations de publication
Date de publication:
01 Nov 2023
01 Nov 2023
Historique:
received:
04
04
2023
accepted:
21
08
2023
medline:
20
9
2023
pubmed:
20
9
2023
entrez:
20
9
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37729072
pii: S1600577523007336
doi: 10.1107/S1600577523007336
pmc: PMC10624028
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1030-1037Subventions
Organisme : HORIZON EUROPE European Innovation Council
ID : 101046448
Informations de copyright
open access.
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