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StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data

Authors :
Jiayi Wang
Zheng Dong
Yi Zhang
Wenqiang Hua
Zudeng Wang
Huilong Guo
Yiming Yang
Xiaoxue Bi
Source :
Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1249-1256 (2024)
Publication Year :
2024
Publisher :
International Union of Crystallography, 2024.

Abstract

StreamSAXS is a Python-based small- and wide-angle X-ray scattering (SAXS/WAXS) data analysis workflow platform with graphical user interface (GUI). It aims to provide an interactive and user-friendly tool for analysis of both batch data files and real-time data streams. Users can easily create customizable workflows through the GUI to meet their specific needs. One characteristic of StreamSAXS is its plug-in framework, which enables developers to extend the built-in workflow tasks. Another feature is the support for both already acquired and real-time data sources, allowing StreamSAXS to function as an offline analysis platform or be integrated into large-scale acquisition systems for end-to-end data management. This paper presents the core design of StreamSAXS and provides user cases demonstrating its utilization for SAXS/WAXS data analysis in offline and online scenarios.

Details

Language :
English
ISSN :
16005775
Volume :
31
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Journal of Synchrotron Radiation
Publication Type :
Academic Journal
Accession number :
edsdoj.9085c964e4a14d038f99346100846100
Document Type :
article
Full Text :
https://doi.org/10.1107/S1600577524005149