一种用于定位显微镜中漂移校正的均值漂移算法。
A mean shift algorithm for drift correction in localization microscopy.
作者信息
Fazekas Frank J, Shaw Thomas R, Kim Sumin, Bogucki Ryan A, Veatch Sarah L
机构信息
Program in Biophysics, University of Michigan, Ann Arbor, Michigan.
Program in Applied Physics, University of Michigan, Ann Arbor, Michigan.
出版信息
Biophys Rep (N Y). 2021 Sep 8;1(1). doi: 10.1016/j.bpr.2021.100008. Epub 2021 Jul 24.
Single-molecule localization microscopy techniques transcend the diffraction limit of visible light by localizing isolated emitters sampled stochastically. This time-lapse imaging necessitates long acquisition times, over which sample drift can become large relative to the localization precision. Here, we present an efficient and robust method for estimating drift, using a simple peak-finding algorithm based on mean shifts that is effective for single-molecule localization microscopy in two or three dimensions.
单分子定位显微镜技术通过对随机采样的孤立发射体进行定位，突破了可见光的衍射极限。这种延时成像需要较长的采集时间，在此期间，相对于定位精度而言，样品漂移可能会变得很大。在这里，我们提出了一种高效且稳健的漂移估计方法，该方法使用基于均值漂移的简单峰值查找算法，对二维或三维单分子定位显微镜有效。
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