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Updated: Apr 21, 2026

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography
Published on: March 12, 2017
Phase reconstruction in annular bright-field scanning transmission electron microscopy
Takafumi Ishida1, Tadahiro Kawasaki2, Takayoshi Tanji3
1Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa, Nagoya 464-8603, Japan Global Research Center for Environment and Energy Based on Nanomaterials Science, Furo-cho, Chikusa, Nagoya 464-8502, Japan takafu_i@nuee.nagoya-u.ac.jp.
Researchers developed a new scanning transmission electron microscopy (STEM) technique for electron wave phase shift reconstruction. This method enables high-resolution phase imaging, demonstrated effectively on graphite particles.
Area of Science:
- Materials Science
- Physics
- Electron Microscopy
Background:
- Electron wave phase shifts are crucial for understanding material properties.
- Conventional methods for phase reconstruction in electron microscopy have limitations.
Purpose of the Study:
- To develop and evaluate a novel technique for reconstructing electron wave phase shifts.
- To enable high-resolution phase imaging using scanning transmission electron microscopy (STEM).
Main Methods:
- Application of a novel phase reconstruction technique to Cs-corrected STEM.
- Development of a new STEM system with an annular aperture, specialized detectors, and an arrayed image processor.
- Experimental evaluation of the developed STEM system and technique.
Main Results:
- Successful reconstruction of phase shifts for electron waves.
- Generation of a high-resolution phase image of graphite particles.
- Demonstration of the technique's effectiveness for advanced phase imaging.
Conclusions:
- The novel phase reconstruction technique is effective for high-resolution phase imaging in STEM.
- The newly developed STEM system facilitates advanced electron wave analysis.
- This advancement opens new possibilities for material characterization using phase information.
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