Abstract
AbstractScanning transmission electron microscopy (STEM) provides sub-ångstrom, atomic resolution images of crystalline structures. However, in many applications, the ability to extract information such as atom positions, from such electron micrographs, is severely obstructed by low signal-to-noise ratios of the acquired images resulting from necessary limitations to the electron dose. We present a denoising strategy tailored to the special features of atomic-resolution electron micrographs of crystals limited by Poisson noise based on the block-matching and 3D-filtering (BM3D) algorithm by Dabov et al. We also present an economized block-matching strategy that exploits the periodic structure of the observed crystals. On simulated single-shot STEM images of inorganic materials, with incident electron doses below 4 C/cm 2, our new method achieves precisions of 7 to 15 pm and an increase in peak signal-to-noise ratio (PSNR) of 15 to 20 dB compared to noisy images and 2 to 4 dB compared to images denoised with the original BM3D.
References
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Dates
Type | When |
---|---|
Created | 10 years, 4 months ago (March 24, 2015, 8:40 a.m.) |
Deposited | 4 years ago (July 30, 2021, 4:01 a.m.) |
Indexed | 3 months, 1 week ago (May 13, 2025, 10:03 a.m.) |
Issued | 10 years, 4 months ago (March 25, 2015) |
Published | 10 years, 4 months ago (March 25, 2015) |
Published Online | 10 years, 4 months ago (March 25, 2015) |
Published Print | 9 years, 8 months ago (Dec. 1, 2015) |
@article{Mevenkamp_2015, title={Poisson noise removal from high-resolution STEM images based on periodic block matching}, volume={1}, ISSN={2198-0926}, url={http://dx.doi.org/10.1186/s40679-015-0004-8}, DOI={10.1186/s40679-015-0004-8}, number={1}, journal={Advanced Structural and Chemical Imaging}, publisher={Springer Science and Business Media LLC}, author={Mevenkamp, Niklas and Binev, Peter and Dahmen, Wolfgang and Voyles, Paul M and Yankovich, Andrew B and Berkels, Benjamin}, year={2015}, month=mar }