Wavelet analysis for single molecule localization microscopy
Wavelet analysis for single molecule localization microscopy
复制标题
DOI：
10.1364/oe.20.002081
复制
发表时间：
2012-01-30
期刊：
影响因子：
3.8
通讯作者：
Sibarita, J. B.
中科院分区：
文献类型：
--
作者：
Izeddin, I.;Boulanger, J.;Sibarita, J. B.
单分子在显微图像中的定位是单粒子数据定量分析的关键步骤。其中，基于单分子的超分辨率光学显微镜技术需要高的定位精度，以及在10 - 5单分子检测的顺序来重建一个单一的图像的大数据集的计算。本文提出了一种基于图像小波分割和单粒子质心确定的算法，并将其性能与常用的点扩散函数的高斯拟合进行了比较。我们在不同的信噪比和颗粒密度进行了逼真的模拟，并表明使用小波方法的计算时间可以比高斯拟合快一个数量级以上，而不会显着降低定位精度，从1 nm到4 nm，在我们的研究范围内。我们提出了一个基于模拟的估计实验单分子采集的分辨率。2012美国光学学会Optical Society of America
Localization of single molecules in microscopy images is a key step in quantitative single particle data analysis. Among them, single molecule based super-resolution optical microscopy techniques require high localization accuracy as well as computation of large data sets in the order of 10 5 single molecule detections to reconstruct a single image. We hereby present an algorithm based on image wavelet segmentation and single particle centroid determination, and compare its performance with the commonly used Gaussian fitting of the point spread function. We performed realistic simulations at different signal-to-noise ratios and particle densities and show that the calculation time using the wavelet approach can be more than one order of magnitude faster than that of Gaussian fitting without a significant degradation of the localization accuracy, from 1 nm to 4 nm in our range of study. We propose a simulation-based estimate of the resolution of an experimental single molecule acquisition. (C)2012 Optical Society of America