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240715s2024 xx |||||o 00| ||eng c |
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|a 10.1107/S1600577524005149
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|a DE-627
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|a eng
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1 |
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|a Wang, Jiayi
|e verfasserin
|4 aut
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1 |
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|a StreamSAXS
|b a Python-based workflow platform for processing streaming SAXS/WAXS data
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|c 2024
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|a Text
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|a Date Revised 05.09.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a open access.
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|a 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
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|a Journal Article
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|a X-ray scattering
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|a data analysis
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|a plug-in framework
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|a scientific workflow
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1 |
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|a Dong, Zheng
|e verfasserin
|4 aut
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1 |
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|a Zhang, Yi
|e verfasserin
|4 aut
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1 |
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|a Hua, Wenqiang
|e verfasserin
|4 aut
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1 |
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|a Wang, Zudeng
|e verfasserin
|4 aut
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1 |
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|a Guo, Huilong
|e verfasserin
|4 aut
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1 |
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|a Yang, Yiming
|e verfasserin
|4 aut
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700 |
1 |
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|a Bi, Xiaoxue
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of synchrotron radiation
|d 1994
|g 31(2024), Pt 5 vom: 01. Sept., Seite 1249-1256
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|x 1600-5775
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|g volume:31
|g year:2024
|g number:Pt 5
|g day:01
|g month:09
|g pages:1249-1256
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|u http://dx.doi.org/10.1107/S1600577524005149
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