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. (http://www.gputechconf.com/resources/poster-galler...)

Preview

Text. Filename: Wu_etal_GPUTC2016_GPU_acceleration_of_non_iterative_and_iterative_algorithms.pdf Accepted Author Manuscript Download (1MB)| Preview

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

Li, David ORCID: https://orcid.org/0000-0002-6401-4263

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Conference or Workshop Item(Poster)
  ID code:	58634
  Dates:	Date Event 4 April 2016 Published 1 February 2016 Accepted
  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:	24 Nov 2024 01:46
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/58634