Before revision:  In this paper, the root mean square minimum distance (RMSMD) is proposed as a quality metric for localization nanoscopy images . Its properties are analyzed and demonstrated by examples which also show the advantages over RMSE, precision, recall and JAC . As a universal and objective metric, the RMSMD can be broadly applied to applications that need to measure average, local, and mutual fitness of two sets of points.
After revision:  In this paper, the root mean square minimum distance (RMSMD) is proposed as a quality metric for localization nanoscopy images and localization algorithms . As a universal and objective metric, the RMSMD can be broadly applied to applications that need to measure average, local, and mutual fitness of two sets of points.