Rekonstruktionsalgoritmer i undersamplet AFM billeddannelse

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Resumé

This paper provides a study of spatial undersampling in atomic force microscopy (AFM) imaging followed by different image reconstruction techniques based on sparse approximation as well as interpolation. The main reasons for using undersampling is that it reduces the path length and thereby the scanning time as well as the amount of interaction between the AFM probe and the specimen. It can easily be applied on conventional AFM hardware. Due to undersampling, it is then necessary to further process the acquired image in order to reconstruct an approximation of the image. Based on real AFM cell images, our simulations reveal that using a simple raster scanning pattern in combination with conventional image interpolation performs very well. Moreover, this combination enables a reduction by a factor 10 of the scanning time while retaining an average reconstruction quality around 36 dB PSNR on the tested cell images.
Bidragets oversatte titelRekonstruktionsalgoritmer i undersamplet AFM billeddannelse
OriginalsprogEngelsk
TidsskriftI E E E Journal on Selected Topics in Signal Processing
Vol/bind10
Udgave nummer1
Sider (fra-til)31-46
ISSN1932-4553
DOI
StatusUdgivet - 1 feb. 2016

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Atomic force microscopy
Imaging techniques
Scanning
Interpolation
Image reconstruction
Hardware

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    @article{13be82c28ab04209b5c3a0b325f31922,
    title = "Reconstruction Algorithms in Undersampled AFM Imaging",
    abstract = "This paper provides a study of spatial undersampling in atomic force microscopy (AFM) imaging followed by different image reconstruction techniques based on sparse approximation as well as interpolation. The main reasons for using undersampling is that it reduces the path length and thereby the scanning time as well as the amount of interaction between the AFM probe and the specimen. It can easily be applied on conventional AFM hardware. Due to undersampling, it is then necessary to further process the acquired image in order to reconstruct an approximation of the image. Based on real AFM cell images, our simulations reveal that using a simple raster scanning pattern in combination with conventional image interpolation performs very well. Moreover, this combination enables a reduction by a factor 10 of the scanning time while retaining an average reconstruction quality around 36 dB PSNR on the tested cell images.",
    keywords = "Atomic Force Microscopy, undersampling, Image Reconstruction, sparse approximation, Interpolation, Compressed Sensing",
    author = "Thomas Arildsen and Oxvig, {Christian Schou} and Pedersen, {Patrick Steffen} and Jan {\O}stergaard and Torben Larsen",
    year = "2016",
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    language = "English",
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    Reconstruction Algorithms in Undersampled AFM Imaging. / Arildsen, Thomas; Oxvig, Christian Schou; Pedersen, Patrick Steffen; Østergaard, Jan; Larsen, Torben.

    I: I E E E Journal on Selected Topics in Signal Processing, Bind 10, Nr. 1, 01.02.2016, s. 31-46.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

    TY - JOUR

    T1 - Reconstruction Algorithms in Undersampled AFM Imaging

    AU - Arildsen, Thomas

    AU - Oxvig, Christian Schou

    AU - Pedersen, Patrick Steffen

    AU - Østergaard, Jan

    AU - Larsen, Torben

    PY - 2016/2/1

    Y1 - 2016/2/1

    N2 - This paper provides a study of spatial undersampling in atomic force microscopy (AFM) imaging followed by different image reconstruction techniques based on sparse approximation as well as interpolation. The main reasons for using undersampling is that it reduces the path length and thereby the scanning time as well as the amount of interaction between the AFM probe and the specimen. It can easily be applied on conventional AFM hardware. Due to undersampling, it is then necessary to further process the acquired image in order to reconstruct an approximation of the image. Based on real AFM cell images, our simulations reveal that using a simple raster scanning pattern in combination with conventional image interpolation performs very well. Moreover, this combination enables a reduction by a factor 10 of the scanning time while retaining an average reconstruction quality around 36 dB PSNR on the tested cell images.

    AB - This paper provides a study of spatial undersampling in atomic force microscopy (AFM) imaging followed by different image reconstruction techniques based on sparse approximation as well as interpolation. The main reasons for using undersampling is that it reduces the path length and thereby the scanning time as well as the amount of interaction between the AFM probe and the specimen. It can easily be applied on conventional AFM hardware. Due to undersampling, it is then necessary to further process the acquired image in order to reconstruct an approximation of the image. Based on real AFM cell images, our simulations reveal that using a simple raster scanning pattern in combination with conventional image interpolation performs very well. Moreover, this combination enables a reduction by a factor 10 of the scanning time while retaining an average reconstruction quality around 36 dB PSNR on the tested cell images.

    KW - Atomic Force Microscopy

    KW - undersampling

    KW - Image Reconstruction

    KW - sparse approximation

    KW - Interpolation

    KW - Compressed Sensing

    UR - https://doi.org/10.5281/zenodo.32959

    UR - https://doi.org/10.5281/zenodo.32958

    UR - https://doi.org/10.5281/zenodo.17573

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    DO - 10.1109/JSTSP.2015.2500363

    M3 - Journal article

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    JO - I E E E Journal on Selected Topics in Signal Processing

    JF - I E E E Journal on Selected Topics in Signal Processing

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