用于超分辨率成像的稳健、无基准漂移校正。

Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA.

Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, 87131, USA.

Sci Rep. 2021 Dec 8;11(1):23672. doi: 10.1038/s41598-021-02850-7.

We describe a robust, fiducial-free method of drift correction for use in single molecule localization-based super-resolution methods. The method combines periodic 3D registration of the sample using brightfield images with a fast post-processing algorithm that corrects residual registration errors and drift between registration events. The method is robust to low numbers of collected localizations, requires no specialized hardware, and provides stability and drift correction for an indefinite time period.

我们描述了一种稳健的、无基准的漂移校正方法，可用于基于单分子定位的超分辨率方法。该方法结合了使用明场图像对样品进行周期性的 3D 配准，以及一种快速的后处理算法，该算法可以校正配准事件之间的残余配准误差和漂移。该方法对采集的定位点数量要求低，不需要特殊硬件，并且可以在无限长的时间内提供稳定性和漂移校正。