MBSEM image acquisition and image processing in LabView FPGA

Shammi Rahangdale, Paul Keijzer, P. Kruit

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 × 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

    Original languageEnglish
    Title of host publicationIWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing
    EditorsR. Rybarova , G. Rozinaj , Minarik I., Truchly P.
    PublisherIEEE
    Number of pages4
    Volume2016-June
    ISBN (Electronic)9781467395557
    DOIs
    Publication statusPublished - 2016
    Event23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia
    Duration: 23 May 201625 May 2016

    Conference

    Conference23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016
    CountrySlovakia
    CityBratislava
    Period23/05/1625/05/16

    Keywords

    • 2D image acquisition
    • MatLab and LabView FPGA
    • Microscopic Imaging and analysis

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  • Cite this

    Rahangdale, S., Keijzer, P., & Kruit, P. (2016). MBSEM image acquisition and image processing in LabView FPGA. In R. Rybarova , G. Rozinaj , M. I., & T. P. (Eds.), IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing (Vol. 2016-June). [7502728] IEEE. https://doi.org/10.1109/IWSSIP.2016.7502728