Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China.
Opt Lett. 2012 Jul 1;37(13):2481-3. doi: 10.1364/OL.37.002481.
We present an algorithm to estimate the location of single fluorescent molecule with both high speed and high precision. This algorithm is based on finding the subpixel position with maximum radial symmetry in a pixelated single molecule fluorescence image. Compared with conventional algorithms, this algorithm does not rely on point-spread-function or noise model. Through numerical simulation and experimental analysis, we found that this algorithm exhibits localization precision very close to the maximum likelihood estimator (MLE), while executes ∼1000 times faster than the MLE and ∼6 times faster than the fluoroBancroft algorithm.
我们提出了一种高速高精度的单荧光分子定位算法。该算法基于在像素化单分子荧光图像中找到具有最大径向对称性的亚像素位置。与传统算法相比，该算法不依赖于点扩散函数或噪声模型。通过数值模拟和实验分析，我们发现该算法的定位精度非常接近最大似然估计（MLE），而执行速度比 MLE 快约 1000 倍，比 fluoroBancroft 算法快约 6 倍。
