| Literature DB >> 28018724 |
Byungyeon Kim1, Byungjun Park1, Seungrag Lee2, Youngjae Won2.
Abstract
We demonstrated GPU accelerated real-time confocal fluorescence lifetime imaging microscopy (FLIM) based on the analog mean-delay (AMD) method. Our algorithm was verified for various fluorescence lifetimes and photon numbers. The GPU processing time was faster than the physical scanning time for images up to 800 × 800, and more than 149 times faster than a single core CPU. The frame rate of our system was demonstrated to be 13 fps for a 200 × 200 pixel image when observing maize vascular tissue. This system can be utilized for observing dynamic biological reactions, medical diagnosis, and real-time industrial inspection.Entities:
Keywords: (120.0120) Instrumentation, measurement, and metrology; (170.0170) Medical optics and biotechnology
Year: 2016 PMID: 28018724 PMCID: PMC5175551 DOI: 10.1364/BOE.7.005055
Source DB: PubMed Journal: Biomed Opt Express ISSN: 2156-7085 Impact factor: 3.732