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TXM-Sandbox: an open-source software for transmission X-ray microscopy data analysis

Xiao, Xianghui ; Xu, Zhengrui ; et al.
In: Journal of Synchrotron Radiation, Jg. 29 (2022), Heft 1, S. 266-275
Online academicJournal

TXM‐Sandbox: an open‐source software for transmission X‐ray microscopy data analysis 

A transmission X‐ray microscope (TXM) can investigate morphological and chemical information of a tens to hundred micrometre‐thick specimen on a length scale of tens to hundreds of nanometres. It has broad applications in material sciences and battery research. TXM data processing is composed of multiple steps. A workflow software has been developed that integrates all the tools required for general TXM data processing and visualization. The software is written in Python and has a graphic user interface in Jupyter Notebook. Users have access to the intermediate analysis results within Jupyter Notebook and have options to insert extra data processing steps in addition to those that are integrated in the software. The software seamlessly integrates ImageJ as its primary image viewer, providing rich image visualization and processing routines. As a guide for users, several TXM specific data analysis issues and examples are also presented.

Keywords: transmission X‐ray microscope; data analysis; computer programs; X‐ray imaging; XANES

TXM‐Sandbox, a workflow software that integrates all the tools required for general transmission X‐ray microscope data processing and visualization, is presented. The software is written in Python and has a graphic user interface in Jupyter Notebook.

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The full text for this article, hosted at journals.iucr.org, is unavailable due to technical difficulties.

By Xianghui Xiao; Zhengrui Xu; Feng Lin and Wah-Keat Lee

Reported by Author; Author; Author; Author

Titel:
TXM-Sandbox: an open-source software for transmission X-ray microscopy data analysis
Autor/in / Beteiligte Person: Xiao, Xianghui ; Xu, Zhengrui ; Lin, Feng ; Lee, Wah-Keat
Link:
Zeitschrift: Journal of Synchrotron Radiation, Jg. 29 (2022), Heft 1, S. 266-275
Veröffentlichung: International Union of Crystallography, 2022
Medientyp: academicJournal
ISSN: 1600-5775 (print)
DOI: 10.1107/S1600577521011978
Schlagwort:
  • transmission x-ray microscope
  • data analysis
  • computer programs
  • x-ray imaging
  • xanes
  • Nuclear and particle physics. Atomic energy. Radioactivity
  • QC770-798
  • Crystallography
  • QD901-999
Sonstiges:
  • Nachgewiesen in: Directory of Open Access Journals
  • Sprachen: English
  • Collection: LCC:Nuclear and particle physics. Atomic energy. Radioactivity ; LCC:Crystallography
  • Document Type: article
  • File Description: electronic resource
  • Language: English

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