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.

ORCID iDs

Wu, Gang, Nowotny, Thomas, Chen, Yu and Li, David

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Item metadata

Item type:	Conference or Workshop Item(Poster)
ID code:	58634
Dates:	Date Event 4 April 2016 Published 1 February 2016 Accepted
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:	17 Jul 2021 02:22
Related URLs:	Event
URI:	https://strathprints.strath.ac.uk/id/eprint/58634

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