Crystal lattice image reconstruction from Moiré sampling scanning transmission electron microscopy.

Area of Science:

• Materials Science
• Electron Microscopy
• Image Reconstruction

Background:

• Undersampled acquisition schemes in Scanning Transmission Electron Microscopy (STEM) require advanced reconstruction methods.
• Compressed sensing has shown success in retrieving crystalline lattice images from undersampled electron micrographs.
• Existing methods often face limitations in field of view and applicability to low magnifications.

Purpose of the Study:

• To propose an alternative method for retrieving crystalline lattice images from undersampled STEM data.
• To leverage Moiré sampling by intentionally generating and correcting aliasing artifacts.
• To extend the application of STEM imaging towards lower magnifications and larger fields of view.

Main Methods:

• Development of a Moiré sampling recovery method based on generating and correcting aliasing artifacts.
• Utilizing the interference between the electron beam raster and crystalline lattice to form Moiré fringes (STEM Moiré hologram).
• Two approaches for determining aliasing shifts: prior knowledge-based and multiple sampling.

Main Results:

• Demonstration of crystalline lattice recovery from a STEM Moiré hologram of a silicon sample.
• Successful reversion of aliasing frequency shifts from Moiré reflections to reconstruct crystal lattices.
• Validation of the Moiré sampling recovery method for retrieving crystalline structures.

Conclusions:

• The Moiré sampling recovery method offers a novel approach to reconstruct crystalline lattices from undersampled STEM data.
• This technique significantly increases the field of view (FOV) of electron micrographs, up to several microns.
• The method extends STEM imaging capabilities for crystalline materials, particularly at low magnifications.