Department of Physics, University of Oregon, Eugene, Oregon, USA.
Nat Methods. 2012 Jun 10;9(7):724-6. doi: 10.1038/nmeth.2071.
I introduce an algorithm for subpixel localization of imaged objects based on an analytic, non-iterative calculation of the best-fit radial symmetry center. This approach yields tracking accuracies that are near theoretical limits, similarly to Gaussian fitting, but with orders-of-magnitude faster execution time, lower sensitivity to nearby particles and applicability to any radially symmetric intensity distribution. I demonstrate the method with several types of data, including super-resolution microscopy images.
我介绍了一种基于解析、非迭代计算最佳径向对称中心的成像物体亚像素定位算法。与高斯拟合类似,该方法可实现接近理论极限的跟踪精度,但执行时间快几个数量级,对附近粒子的敏感性更低,适用于任何具有径向对称强度分布的情况。我用包括超分辨率显微镜图像在内的几种类型的数据演示了该方法。