2023
DOI: 10.1093/jmicro/dfad037
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Enhancing performance of electron holography with mathematical and machine learning–based denoising techniques

Abstract: Electron holography is a useful tool for analyzing functional properties, such as electromagnetic fields and strains of materials and devices. The performance of electron holography is limited by the “shot noise” inherent in electron micrographs (holograms), which are composed of a finite number of electrons. A promising approach for addressing this issue is to use mathematical and machine learning-based image-processing techniques for hologram denoising. With the advancement of information science, denoising … Show more

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