GPU enhanced fluorescence lifetime imaging processors with non-iterative and iterative algorithms

Wu, Gang, Nowotny, Thomas and Li, David (2014) GPU enhanced fluorescence lifetime imaging processors with non-iterative and iterative algorithms. In: The Microscience Microscopy Congress 2014 (MMC2014), 30 June - 3 July, 2014, Manchester, UK.

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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.

Item Type: Conference or Workshop Item (Poster)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics > TK7885 Computer engineering. Computer hardware
Depositing User: David Day-Uei Li
Date Deposited: 06 Oct 2014 09:53
Last Modified: 06 Oct 2014 09:53
URI: http://sro.sussex.ac.uk/id/eprint/50484

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