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    Optimization of Monochromated TEM for Ultimate Resolution Imaging and Ultrahigh Resolution Electron Energy Loss Spectroscopy

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    Monochromated TEM-revised-2.pdf
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    1.038Mb
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Lopatin, Sergei cc
    Cheng, Bin
    Liu, Wei-Ting
    Tsai, Meng-Lin cc
    He, Jr-Hau cc
    Chuvilin, Andrey cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Electron Microscopy
    Imaging and Characterization Core Lab
    KAUST Solar Center (KSC)
    Date
    2017-09-01
    Online Publication Date
    2017-09-01
    Print Publication Date
    2018-01
    Permanent link to this record
    http://hdl.handle.net/10754/625753
    
    Metadata
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    Abstract
    The performance of a monochromated transmission electron microscope with Wien type monochromator is optimized to achieve an extremely narrow energy spread of electron beam and an ultrahigh energy resolution with spectroscopy. The energy spread in the beam is improved by almost an order of magnitude as compared to specified values. The optimization involves both the monochromator and the electron energy loss detection system. We demonstrate boosted capability of optimized systems with respect to ultra-low loss EELS and sub-angstrom resolution imaging (in a combination with spherical aberration correction).
    Citation
    Lopatin S, Cheng B, Liu W-T, Tsai M-L, He J-H, et al. (2018) Optimization of monochromated TEM for ultimate resolution imaging and ultrahigh resolution electron energy loss spectroscopy. Ultramicroscopy 184: 109–115. Available: http://dx.doi.org/10.1016/j.ultramic.2017.08.016.
    Sponsors
    Authors would like to thank Dr. Peter C Tiemeijer from FEI Co for fruitful comments and discussions regarding the monochromator operation and optimization. Also we would like to acknowledge Dmitry Melnikau for providing a sample of Ag nanowires.
    Publisher
    Elsevier BV
    Journal
    Ultramicroscopy
    DOI
    10.1016/j.ultramic.2017.08.016
    PubMed ID
    28886488
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0304399117302073
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ultramic.2017.08.016
    Scopus Count
    Collections
    Articles; Imaging and Characterization Core Lab; Electrical and Computer Engineering Program; KAUST Solar Center (KSC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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