Evidence map›Paper›PMID 40173009›Full record

ArticleJournal of synchrotron radiation2025

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

Sugeun Jo, Sangwoo Kim, Jun Lim

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sugeun JoPohang 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.ORCID 0000-0002-2832-0343
Sangwoo KimPohang 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.
Jun LimPohang 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.ORCID 0000-0002-0047-2273

Funding

Ministry of Trade, Industry and Energy 20011661National Research Foundation of Korea RS-2025-00553125
6 · The paper itself

Abstract

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.

Indexed as

lithium ion batteriestransmission X-ray microscopy (TXM)X-ray absorption near-edge structure (XANES) imagingX-ray image analysisX-ray spectroscopy

Identifiers

PMID40173009
PMCPMC12067337

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.