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

Autor: Jiayi Wang, Zheng Dong, Yi Zhang, Wenqiang Hua, Zudeng Wang, Huilong Guo, Yiming Yang, Xiaoxue Bi
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1249-1256 (2024)
Druh dokumentu: article
ISSN: 1600-5775
16005775
DOI: 10.1107/S1600577524005149
Popis: 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.
Databáze: Directory of Open Access Journals
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