Picometer-Precision Atomic Position Tracking through Electron Microscopy

Overview

This article presents a workflow for atomic position tracking in atomic resolution transmission electron microscopy imaging using an open-source MATLAB app called Easy-STEM. The app facilitates the analysis of atomic resolution images without the need for advanced coding skills.

Key Study Components

Area of Science

• Neuroscience
• Biology
• Electron Microscopy

Background

• Advanced electron microscopes have achieved sub-angstrom resolution.
• There is a lack of software for data analysis in atomic resolution imaging.
• Easy-STEM is a free MATLAB application designed to assist researchers.
• The application provides a graphical user interface for ease of use.

Purpose of Study

• To present a workflow for quantifying atomic positions in STEM images.
• To provide tools for denoising and drift correction of images.
• To enable accurate analysis of lattice strain and defects in crystals.

Methods Used

• Image acquisition with high-quality TEM samples.
• Drift correction using non-linear algorithms.
• Image denoising techniques including Gaussian and Fourier filtering.
• Manual correction of atom positions within the Easy-STEM app.

Main Results

• Successful quantification of atom column positions in STEM images.
• Effective separation of overlapping atom columns.
• Implementation of mixing algorithms for distinguishing different atom types.
• Demonstration of improved image quality through denoising techniques.

Conclusions

• Easy-STEM provides a user-friendly platform for atomic resolution analysis.
• The workflow enhances the accessibility of advanced electron microscopy techniques.
• Future applications may expand to various materials and atomic structures.

Frequently Asked Questions