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Updated: Jun 19, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
Published on: October 24, 2019
Transmission X-ray microscopy-based three-dimensional XANES imaging
Ruoyang Gao1,2,3, Ling Zhang2, Fen Tao2
1Shanghai Institute of Applied Physics, Chinese Academy of Sciences, No. 2019 Jialuo Road, Shanghai, 201800, People's Republic of China.
Three-dimensional X-ray microscopy combined with X-ray absorption spectroscopy offers detailed chemical insights into battery materials. This advanced technique visualizes 3D chemical states and oxidation, overcoming limitations of 2D methods for materials science applications.
Area of Science:
- Materials Science
- Chemistry
- Physics
Background:
- Full-field transmission X-ray microscopy (TXM) and X-ray absorption near edge structure (XANES) spectroscopy provide nanoscale morphological and chemical information.
- 2D XANES imaging faces challenges with uneven sample thickness, leading to information overlap.
- 3D XANES imaging overcomes these limitations by providing depth-resolved chemical state distribution.
Purpose of the Study:
- To introduce and detail a 3D XANES imaging method for characterizing battery materials.
- To demonstrate the capability of visualizing 3D chemical states and oxidation in battery materials.
- To provide a comprehensive guide to data acquisition, processing, quantification, and visualization for 3D XANES imaging.
Main Methods:
- Established a 3D XANES imaging method at the Shanghai Synchrotron Radiation Facility (SSRF).
- Applied the technique to characterize commercial LiNiCoMnO2 (NCM) battery powder materials.
- Utilized 3D TXM combined with XANES spectroscopy for nanoscale chemical analysis.
Main Results:
- Successfully obtained 3D distribution information on chemical states within NCM battery particles.
- Visualized the 3D chemical state information with depth resolution.
- Enabled direct observation of 3D nickel oxidation states within the material.
Conclusions:
- 3D XANES imaging is a powerful tool for detailed nanoscale chemical analysis of battery materials.
- The developed method provides critical insights into material structure and chemical states, essential for battery research.
- This technique offers significant advantages over 2D methods for understanding complex material systems.
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