Robust, fiducial-free drift correction for super-resolution imaging

Abstract 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 Roll Neck Sweaters images with a fast post-processing algorithm that corrects residual registration Robes 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.