TXM-Pal a companion software for advanced data processing in spectroscopic X-ray microscopy

TXM-Pal : a companion software for advanced data processing in spectroscopic X-ray microscopy

open access.

Bibliographische Detailangaben
Veröffentlicht in:Journal of synchrotron radiation. - 1994. - (2025) vom: 01. Mai
1. Verfasser: Jo, Sugeun (VerfasserIn)
Weitere Verfasser: Kim, Sangwoo, Lim, Jun
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Journal of synchrotron radiation
Schlagworte:Journal Article X-ray absorption near-edge structure (XANES) imaging X-ray image analysis X-ray spectroscopy lithium ion batteries transmission X-ray microscopy (TXM)
Beschreibung
Zusammenfassung:open access.
Transmission X-ray microscopy (TXM) is a powerful and non-destructive tool for interpreting the chemical states of a wide range of materials. It utilizes X-ray absorption near-edge structure (XANES) for the chemically sensitive mapping of specific elements, making it particularly effective for studying heterogeneous systems. However, specialized software is required for XANES imaging analyses to precisely align and correct the image drift, ensuring accurate XANES fitting. To address this issue, we developed TXM-Pal, a Python-based software optimized for XANES imaging data analysis at the 7C-XNI beamline in Pohang Light Source II. This software includes a user-friendly graphical user interface that facilitates XANES analysis, allowing images to be processed within a few minutes. The Rust-based implementation in TXM-Pal accelerates data analysis by tens of times compared with programs of pure Python. Using TXM-Pal, we procured detailed insights into the XANES analytical workflow. To demonstrate the efficacy of the proposed software, we mapped the Ni oxidation states within lithium-ion battery cathodes and thereby revealed their heterogeneity. TXM-Pal will be continuously updated to enhance XANES imaging analysis for users at spectroscopic X-ray microscope beamlines
Beschreibung:Date Revised 02.04.2025
published: Print-Electronic
Citation Status Publisher
ISSN:1600-5775
DOI:10.1107/S1600577525002036