title: GPU accelerated real-time confocal fluorescence lifetime imaging microscopy (FLIM) based on the analog mean-delay (AMD) method.
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.
authors.affiliation: Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea.
authors.forename: Byungyeon
authors.initials: B
authors.lastname: Kim
authors.affiliation: Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea.
authors.forename: Byungjun
authors.initials: B
authors.lastname: Park
authors.affiliation: Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea; These authors contributed equally.
authors.forename: Seungrag
authors.initials: S
authors.lastname: Lee
authors.affiliation: Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea; These authors contributed equally.
authors.forename: Youngjae
authors.initials: Y
authors.lastname: Won
keywords: (120.0120) Instrumentation, measurement, and metrology; (170.0170) Medical optics and biotechnology