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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Text (Wu-etal-GPUTC2016-GPU-acceleration-of-non-iterative-and-iterative-algorithms)
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Official URL: http://www.gputechconf.com/resources/poster-galler...
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.
Author(s): | Wu, Gang, Nowotny, Thomas, Chen, Yu and Li, David ![]() | Item type: | Conference or Workshop Item(Poster) |
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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 Nov 2019 01:04 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/58634 |
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