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    Imaging quality assessment of different AFM working modes on living cancer cells

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    Authors
    Wang, Guoliang
    Sun, Baishun
    Wu, Xiaomin
    Zhang, Wenxiao
    Qu, Yingmin
    Song, Zhengxun
    Wang, Zuobin
    Li, Dayou
    Affiliation
    Changchun University of Science and Technology
    University of Bedfordshire
    Issue Date
    2020-02-02
    Subjects
    imaging quality assessment
    
    Metadata
    Show full item record
    Abstract
    Since the invention of atomic force microscope (AFM) in 1986, its capabilities in biophysical research, such as living cell imaging, molecule imaging and recognition and drug treatment analysis, have been deeply investigated. Various types of working modes of atomic force microscopy have been employed for imaging and analyzing living cells. The physical properties of living cells can be directly illustrated by its good resolution images. In this paper, the applications of three AFM working modes including contact, tapping and quantitative imaging (QI) modes for the investigation of living lung cancer cells (A549) are presented. Meanwhile, the quality of images of the cells obtained by different working modes is compared through the image quality assessment (IQA) methods.
    Citation
    Wang G, Sun B, Wu X, Zhang W, Qu Y, Song Z, Wang Z, Li D (2019) 'Imaging quality assessment of different AFM working modes on living cancer cells', 2019 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - Zhenjiang, IEEE.
    Publisher
    IEEE
    Journal
    2017 IEEE INTERNATIONAL CONFERENCE ON MANIPULATION, MANUFACTURING AND MEASUREMENT ON THE NANOSCALE (3M-NANO)
    URI
    http://hdl.handle.net/10547/624159
    DOI
    10.1109/3M-NANO46308.2019.8947426
    Additional Links
    https://ieeexplore.ieee.org/document/8947426
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISSN
    2373-5422
    ae974a485f413a2113503eed53cd6c53
    10.1109/3M-NANO46308.2019.8947426
    Scopus Count
    Collections
    Computing

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