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    Ultra-high resolution coded wavefront sensor

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    oe-25-12-13736.pdf
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    Format:
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    Description:
    Publisher's version
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    Type
    Article
    Authors
    Wang, Congli cc
    Dun, Xiong
    Fu, Qiang cc
    Heidrich, Wolfgang cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Visual Computing Center (VCC)
    Computer Science Program
    Date
    2017-06-08
    Online Publication Date
    2017-06-08
    Print Publication Date
    2017-06-12
    Embargo End Date
    2018-06-12
    Permanent link to this record
    http://hdl.handle.net/10754/626833
    
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    Abstract
    Wavefront sensors and more general phase retrieval methods have recently attracted a lot of attention in a host of application domains, ranging from astronomy to scientific imaging and microscopy. In this paper, we introduce a new class of sensor, the Coded Wavefront Sensor, which provides high spatio-temporal resolution using a simple masked sensor under white light illumination. Specifically, we demonstrate megapixel spatial resolution and phase accuracy better than 0.1 wavelengths at reconstruction rates of 50 Hz or more, thus opening up many new applications from high-resolution adaptive optics to real-time phase retrieval in microscopy.
    Citation
    Wang C, Dun X, Fu Q, Heidrich W (2017) Ultra-high resolution coded wavefront sensor. Optics Express 25: 13736. Available: http://dx.doi.org/10.1364/OE.25.013736.
    Sponsors
    King Abdullah University of Science and Technology (KAUST) baseline funding; KAUST Advanced Nanofabrication Imaging and Characterization Core Lab.
    Publisher
    The Optical Society
    Journal
    Optics Express
    DOI
    10.1364/OE.25.013736
    Additional Links
    https://www.osapublishing.org/oe/abstract.cfm?uri=oe-25-12-13736
    https://doi.org/10.1364/oe.25.013736
    Relations
    Is Supplemented By:
    • [Dataset]
      Congli Wang, Dun, X., Fu, Q., & Heidrich, W. (2017). Ultra-high resolution coded wavefront sensor. Figshare. https://doi.org/10.6084/M9.FIGSHARE.C.3813715. DOI: 10.6084/m9.figshare.c.3813715 Handle: 10754/663980
    ae974a485f413a2113503eed53cd6c53
    10.1364/OE.25.013736
    Scopus Count
    Collections
    Articles; Computer Science Program; Electrical and Computer Engineering Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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