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Title: Image Resolution in Scanning Transmission Electron Microscopy

Abstract

Digital images captured with electron microscopes are corrupted by two fundamental effects: shot noise resulting from electron counting statistics and blur resulting from the nonzero width of the focused electron beam. The generic problem of computationally undoing these effects is called image reconstruction and for decades has proved to be one of the most challenging and important problems in imaging science. This proposal concerned the application of the Pixon method, the highest-performance image-reconstruction algorithm yet devised, to the enhancement of images obtained from the highest-resolution electron microscopes in the world, now in operation at Oak Ridge National Laboratory.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN
Sponsoring Org.:
USDOE
OSTI Identifier:
939888
Report Number(s):
ORNL04-0700
TRN: US200823%%677
DOE Contract Number:
DE-ACo5-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; 47 OTHER INSTRUMENTATION; ALGORITHMS; SPATIAL RESOLUTION; TRANSMISSION ELECTRON MICROSCOPY; SCANNING ELECTRON MICROSCOPY; IMAGE PROCESSING

Citation Formats

Pennycook, S. J., and Lupini, A.R.. Image Resolution in Scanning Transmission Electron Microscopy. United States: N. p., 2008. Web. doi:10.2172/939888.
Pennycook, S. J., & Lupini, A.R.. Image Resolution in Scanning Transmission Electron Microscopy. United States. doi:10.2172/939888.
Pennycook, S. J., and Lupini, A.R.. Thu . "Image Resolution in Scanning Transmission Electron Microscopy". United States. doi:10.2172/939888. https://www.osti.gov/servlets/purl/939888.
@article{osti_939888,
title = {Image Resolution in Scanning Transmission Electron Microscopy},
author = {Pennycook, S. J. and Lupini, A.R.},
abstractNote = {Digital images captured with electron microscopes are corrupted by two fundamental effects: shot noise resulting from electron counting statistics and blur resulting from the nonzero width of the focused electron beam. The generic problem of computationally undoing these effects is called image reconstruction and for decades has proved to be one of the most challenging and important problems in imaging science. This proposal concerned the application of the Pixon method, the highest-performance image-reconstruction algorithm yet devised, to the enhancement of images obtained from the highest-resolution electron microscopes in the world, now in operation at Oak Ridge National Laboratory.},
doi = {10.2172/939888},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 26 00:00:00 EDT 2008},
month = {Thu Jun 26 00:00:00 EDT 2008}
}

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