基于模拟平均延迟（AMD）方法的GPU加速实时共聚焦荧光寿命成像显微镜（FLIM）。
GPU accelerated real-time confocal fluorescence lifetime imaging microscopy (FLIM) based on the analog mean-delay (AMD) method.
作者信息
Kim Byungyeon, Park Byungjun, Lee Seungrag, Won Youngjae
机构信息
Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea.
Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk 361-951, South Korea; These authors contributed equally.
出版信息
Biomed Opt Express. 2016 Nov 14;7(12):5055-5065. doi: 10.1364/BOE.7.005055. eCollection 2016 Dec 1.
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.
摘要
我们展示了基于模拟平均延迟（AMD）方法的GPU加速实时共聚焦荧光寿命成像显微镜（FLIM）。我们的算法针对各种荧光寿命和光子数进行了验证。对于高达800×800的图像，GPU处理时间比物理扫描时间更快，比单核CPU快149倍以上。在观察玉米维管组织时，我们系统对于200×200像素图像的帧率为13帧/秒。该系统可用于观察动态生物反应、医学诊断和实时工业检测。
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