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A rapid fluorescence lifetime image acquistion method based on time-gated fluorescence lifetime imaging microscopy

机译:一种基于时隙荧光寿命显微镜显微镜的快速荧光寿命图像采集方法

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摘要

Besides the regular biological or biomedical imaging applications, time-gated fluorescence lifetime imaging microscopy (FLIM) could be used to image living cells or rapid biochemistry reactions by its advantage of wide field and obvious parallel acquisition speed. As the basis of system detection mode, a good fitting algorithm could satisfy the lifetime precision and acquisition demand at the same time. The common used fluorescence lifetime fitting methods include rapid fluorescence lifetime determination(RLD), linear least square method (LLS)and iterative nonlinear least square (NLLS)method. In this study, we compared these three methods and analyzed the lifetime results. It demonstrated the RLD algorithm could achieve a fast processing speed and a good contrast of lifetime map, however, it shows the results of the rapid fitted lifetime map exists some distributed noise caused by insufficient time-resolved fluorescence intensity images. To remove these noise spots and preserve the lifetime map precision, we chose a four-order partial differential equations (PDEs), which achieved a trade-off between noise-removing and lifetime map feature. In this paper, we proposed a rapid fluorescence lifetime acquisition method combining rapid lifetime determination and four-order PDEs algorithm based on time-gated FLIM, which could satisfy the high speed detection and lifetime precision demand of living cells or rapid biochemical reactions.
机译:除了常规的生物医学或生物医学成像应用外,通过其优点和明显的平行采集速度,可以使用时间门控荧光寿命显微镜显微镜(FLIM)或通过其优点来实现活细胞或快速生物化学反应。作为系统检测模式的基础,良好的拟合算法可以同时满足寿命精度和采集需求。常用的荧光寿命拟合方法包括快速荧光寿命确定(RLD),线性最小二乘法(LLS)和迭代非线性最小二乘(NLLS)方法。在这项研究中,我们比较了这三种方法并分析了寿命结果。它证明了RLD算法可以实现快速处理速度和寿​​命图的良好对比度,然而,它显示了快速装配的寿命图的结果存在于由不充分的时间分辨荧光强度图像引起的分布噪声。为了消除这些噪声点并保留寿命映射精度,我们选择了四阶部分微分方程(PDE),该方程式(PDE)实现了噪声消除和寿命映射特征之间的折衷。在本文中,我们提出了一种快速荧光寿命采集方法,其基于时间门控旋转的快速寿命测定和四阶PDE算法组合,这可以满足活细胞的高速检测和寿命精度或快速生化反应。

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