Real-Time External Control Combined with Image Post-Processing for Mitigating SEM Vibration Distortion
Jieping Ding, Ling’en Liu, Mingqian Song, Junxia Lu, Yuefei Zhang

TL;DR
This paper introduces a new method combining real-time control and image processing to reduce vibration distortion in scanning electron microscope (SEM) images.
Contribution
The novel hybrid framework integrates real-time active suppression and post-processing to effectively mitigate multi-source vibration distortion in SEM imaging.
Findings
The proposed framework reduces peak-to-peak value, edge transition width, and NIQE score by 39.4%, 91.7%, and 58.9%, respectively.
Periodic vibration distortion is essentially eliminated at both 100 kx and 50 kx magnifications.
The strategy is universally applicable without requiring vibration source localization.
Abstract
Scanning electron microscopes (SEMs) are crucial for material characterization. They are highly susceptible to vibration from environmental sources, internal components, and other external factors, which can impair measurement accuracy. Traditional solutions are limited in addressing multi-source vibrations: passive isolation struggles with internal vibrations, while image post-processing cannot fundamentally correct large-amplitude deviations in the electron beam. Therefore, this study proposes a hybrid framework that combines real-time active hardware suppression with post-processing to mitigate vibration-induced distortion in SEM images. Using a self-developed external controller and software, the framework extracts periodic vibration features via FFT, quantifies scan line horizontal offset, and implements real-time inverse offset during imaging to suppress dominant-frequency…
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Taxonomy
TopicsAdvanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Force Microscopy Techniques and Applications
