Yang Sejung, Lee Joohyun, Lee Youmin, Lee Minyung, Lee Byung-Uk
Ewha Womans University Medical Center, Institute of Convergence Medicine, 1071, Anyangcheon-ro, Yangcheon-gu, Seoul 158-710, Republic of Korea.
Ewha Womans University, Department of Electronics Engineering, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea.
J Biomed Opt. 2015 Sep;20(9):096003. doi: 10.1117/1.JBO.20.9.096003.
Fluorescence lifetime imaging microscopy (FLIM) is a microscopic imaging technique to present an image of fluorophore lifetimes. It circumvents the problems of typical imaging methods such as intensity attenuation from depth since a lifetime is independent of the excitation intensity or fluorophore concentration. The lifetime is estimated from the time sequence of photon counts observed with signal-dependent noise, which has a Poisson distribution. Conventional methods usually estimate single or biexponential decay parameters. However, a lifetime component has a distribution or width, because the lifetime depends on macromolecular conformation or inhomogeneity. We present a novel algorithm based on a sparse representation which can estimate the distribution of lifetime. We verify the enhanced performance through simulations and experiments.
荧光寿命成像显微镜（FLIM）是一种用于呈现荧光团寿命图像的显微成像技术。它规避了典型成像方法中诸如深度导致的强度衰减等问题，因为寿命与激发强度或荧光团浓度无关。寿命是根据具有泊松分布的、带有信号相关噪声的光子计数时间序列来估计的。传统方法通常估计单指数或双指数衰减参数。然而，由于寿命取决于大分子构象或不均匀性，寿命分量具有分布或宽度。我们提出了一种基于稀疏表示的新算法，该算法可以估计寿命的分布。我们通过模拟和实验验证了其增强的性能。
