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StreamSAXS:一个用于处理流式小角X射线散射/广角X射线散射数据的基于Python的工作流程平台。

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

作者信息

Wang Jiayi, Dong Zheng, Zhang Yi, Hua Wenqiang, Wang Zudeng, Guo Huilong, Yang Yiming, Bi Xiaoxue

机构信息

Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, People's Republic of China.

Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, People's Republic of China.

出版信息

J Synchrotron Radiat. 2024 Sep 1;31(Pt 5):1249-1256. doi: 10.1107/S1600577524005149. Epub 2024 Jul 15.

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.

摘要

StreamSAXS是一个基于Python的小角和广角X射线散射(SAXS/WAXS)数据分析工作流程平台,带有图形用户界面(GUI)。它旨在为批量数据文件和实时数据流的分析提供一个交互式且用户友好的工具。用户可以通过GUI轻松创建可定制的工作流程,以满足他们的特定需求。StreamSAXS的一个特点是其插件框架,这使得开发者能够扩展内置的工作流程任务。另一个特性是支持已采集的和实时的数据源,使StreamSAXS既可以作为离线分析平台运行,也可以集成到大规模采集系统中进行端到端的数据管理。本文介绍了StreamSAXS的核心设计,并提供了用户案例,展示了其在离线和在线场景下用于SAXS/WAXS数据分析的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5546/11371052/e17981b123e8/s-31-01249-fig1.jpg

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