Fast and accurate three-dimensional point spread function computation for fluorescence microscopy.
Fast and accurate three-dimensional point spread function computation for fluorescence microscopy.
复制标题
DOI：
10.1364/josaa.34.001029
复制
发表时间：
2017-06
期刊：
影响因子：
--
通讯作者：
Jizhou Li;Feng Xue;T. Blu
中科院分区：
文献类型：
--
作者：
Jizhou Li;Feng Xue;T. Blu
点扩散函数（PSF）在荧光显微镜中起着重要的作用。一个真实准确的PSF模型可以显着提高3D去卷积显微镜的性能，也可以提高单分子显微镜的定位精度。在这项工作中，我们提出了一个快速和准确的近似的Gibson-Lanni模型，它已被证明是适当的各种成像条件下的PSF。我们将该模型中的基尔霍夫积分表示为重标贝塞尔函数的线性组合，从而提供了一种免积分的计算方法。数值计算给出了参数的显式逼近误差。实验表明，所提出的方法的结果在一个显着较小的计算时间相比，目前国家的最先进的技术，以达到相同的精度。这种方法也可以扩展到其他显微镜PSF模型。
The point spread function (PSF) plays a fundamental role in fluorescence microscopy. A realistic and accurately calculated PSF model can significantly improve the performance in 3D deconvolution microscopy and also the localization accuracy in single-molecule microscopy. In this work, we propose a fast and accurate approximation of the Gibson-Lanni model, which has been shown to represent the PSF suitably under a variety of imaging conditions. We express the Kirchhoff's integral in this model as a linear combination of rescaled Bessel functions, thus providing an integral-free way for the calculation. The explicit approximation error in terms of parameters is given numerically. Experiments demonstrate that the proposed approach results in a significantly smaller computational time compared with current state-of-the-art techniques to achieve the same accuracy. This approach can also be extended to other microscopy PSF models.