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Updated: Jan 31, 2026
10:09
Large-scale Scanning Transmission Electron Microscopy Nanotomy of Healthy and Injured Zebrafish Brain
Published on: May 25, 2016
11.5K
Compressed Sensing of Scanning Transmission Electron Microscopy (STEM) With Nonrectangular Scans.
Xin Li1, Ondrej Dyck1, Sergei V Kalinin1
11Center for Nanophase Materials Sciences,Oak Ridge National Laboratory,Oak Ridge,TN 37831,USA.
Summary
This study introduces a new method for real-time image reconstruction in scanning transmission electron microscopy (STEM). This technique enhances speed and dynamic range for atomic-level materials characterization and fabrication.
Area of Science:
- Materials Science
- Electron Microscopy
- Nanotechnology
Background:
- Scanning transmission electron microscopy (STEM) is crucial for atomic-level materials characterization.
- Advanced STEM applications require enhanced dynamic range and scanning speed.
- Beam-sensitive materials and atom-by-atom fabrication present imaging challenges.
Purpose of the Study:
- To develop a general method for real-time image reconstruction from sparsely sampled STEM data.
- To enable high-speed, non-invasive imaging using diverse scanning pathways.
- To advance dose-efficient scanning strategies and e-beam induced atomic manipulation.
Main Methods:
- Developed a general real-time reconstruction method for sparsely sampled STEM images.
- Utilized non-traditional scanning trajectories like spiral and Lissajous scans.
- Validated the approach with synthetic data and experimental STEM data on graphene.
Main Results:
- Demonstrated successful real-time image reconstruction from high-speed, sparse STEM data.
- Showcased the method's effectiveness on beam-sensitive graphene.
- Achieved enhanced dynamic range and scanning speed capabilities.
Conclusions:
- The developed method facilitates comprehensive investigation of dose-efficient scanning strategies.
- Opens possibilities for real-time adaptive control in e-beam induced atomic fabrication.
- Advances the capabilities of STEM for materials characterization and nanoscale engineering.
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