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Related Experiment Video

Updated: May 2, 2026

Online Size-exclusion and Ion-exchange Chromatography on a SAXS Beamline

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Published on: January 5, 2017

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

Sugeun Jo¹, Sangwoo Kim¹, Jun Lim¹

¹Pohang Accelerator Laboratory, Pohang University of Science and Technology (POSTECH), 80 Jigok-ro 127 beon-gil, Nam-gu, Pohang-si, Gyeongsangbuk-do 37637, Republic of Korea.

Journal of Synchrotron Radiation

|April 2, 2025

Summary

We developed TXM-Pal, a fast Python-based software for analyzing X-ray absorption near-edge structure (XANES) imaging data. This tool accurately maps elemental chemical states, revealing heterogeneity in materials like battery cathodes.

Keywords:

X-ray absorption near-edge structure (XANES) imaging X-ray image analysis X-ray spectroscopy lithium ion batteries transmission X-ray microscopy (TXM)

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Area of Science:

Materials Science
Analytical Chemistry
Spectroscopy

Background:

Transmission X-ray microscopy (TXM) enables non-destructive chemical state analysis using X-ray absorption near-edge structure (XANES).
Accurate XANES imaging analysis requires specialized software for precise image alignment and drift correction.
Heterogeneous systems present challenges for detailed chemical state interpretation.

Purpose of the Study:

To develop and present TXM-Pal, a novel software solution for efficient XANES imaging data analysis.
To optimize XANES analysis for the 7C-XNI beamline at Pohang Light Source II.
To demonstrate the software's capability in revealing material heterogeneity.

Main Methods:

Development of TXM-Pal, a Python-based software with a Rust implementation for accelerated data processing.
Implementation of a user-friendly graphical user interface for streamlined XANES analysis.
Application of TXM-Pal to map Nickel (Ni) oxidation states in lithium-ion battery cathodes.

Main Results:

TXM-Pal significantly accelerates XANES data analysis compared to pure Python programs.
The software successfully mapped the heterogeneity of Ni oxidation states in battery cathode materials.
Detailed insights into the XANES analytical workflow were obtained.

Conclusions:

TXM-Pal provides an efficient and user-friendly solution for XANES imaging analysis.
The software is effective in characterizing the chemical states and heterogeneity of materials.
TXM-Pal is expected to be continuously updated to support users at spectroscopic X-ray microscope beamlines.