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Scanning electron microscope charging effect model for chromium/quartz photolithography masks
Adam Seeger1, Alessandro Duci, Horst Haussecker
1Intel Corporation, Computational Nano-Vision, Santa Clara, California 95054, USA. seeger@cs.unc.edu
We developed a new method to model specimen charging in scanning electron microscope (SEM) images. This approach corrects charging-induced errors, improving SEM image analysis for accurate measurements and reconstructions.
Area of Science:
- Materials Science
- Image Analysis
- Electron Microscopy
Background:
- Specimen charging in scanning electron microscopy (SEM) introduces errors in image analysis.
- Accurate measurement, segmentation, and 3-D reconstruction are hindered by charging effects.
- Existing methods may be computationally intensive or limited in scope.
Purpose of the Study:
- To propose a novel method for modeling specimen charging in SEM images.
- To enable robust image analysis by correcting charging-induced artifacts.
- To provide a practical and fast approach for SEM image analysis applications.
Main Methods:
- Fitting a quantitative model to SEM images to simulate charging effects.
- Focusing on intensity changes rather than coordinate distortions.
- Applying the model to chromium/quartz photolithography masks and similar structures.
Main Results:
- The developed method accurately fits real SEM images, capturing charging effects.
- The simulation method is faster than Monte Carlo simulations.
- The model is suitable for isolated metal islands on insulating substrates.
Conclusions:
- The proposed method offers a practical solution for correcting charging effects in SEM imaging.
- This technique enhances the reliability of SEM image analysis for metrology and reconstruction.
- The speed of the method makes it suitable for routine image analysis workflows.
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