GPU acceleration of non-iterative and iterative algorithms in fluorescence lifetime imaging microscopy

Wu, Gang and Nowotny, Thomas and Chen, Yu and Li, David (2016) GPU acceleration of non-iterative and iterative algorithms in fluorescence lifetime imaging microscopy. In: GPU Technology Conference, 2016-04-04 - 2016-04-08.

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    Abstract

    Graphics Processing Unit (GPU) enhanced Fluorescence Lifetime Imaging Microscopy (FLIM) algorithms are presented, and their results are compared with the latest research results. The GPU based approaches are suitable for highly parallelized sensor systems and promising for high-speed FLIM applications.

    Creators(s): Wu, Gang, Nowotny, Thomas, Chen, Yu and Li, David ORCID logoORCID: https://orcid.org/0000-0002-6401-4263;
    Item type:Conference or Workshop Item(Poster)
    ID code:58634
    Keywords:fluorescence lifetime imaging microscopy, graphics processing units, highly parallelized sensor systems, simulations, a time-correlated singlephoton counting, algoriths, Optics. Light, Biomedical Engineering, Atomic and Molecular Physics, and Optics
    Subjects:Science > Physics > Optics. Light
    Department:Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
    Faculty of Science > Physics
    Technology and Innovation Centre > Bionanotechnology
    Depositing user: Pure Administrator
    Date deposited:14 Nov 2016 12:55
    Last modified:16 Jan 2020 02:18
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/58634
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