Root Mean Square Minimum Distance as a Quality Metric for Stochastic Optical Localization Nanoscopy Images.

ABSTRACT: A localization algorithm in stochastic optical localization nanoscopy plays an important role in obtaining a high-quality image. A universal and objective metric is crucial and necessary to evaluate qualities of nanoscopy images and performances of localization algorithms. In this paper, we propose root mean square minimum distance (RMSMD) as a quality metric for localization nanoscopy images. RMSMD measures an average, local, and mutual fitness between two sets of points. Its properties common to a distance metric as well as unique to itself are presented. The ambiguity, discontinuity, and inappropriateness of the metrics of accuracy, precision, recall, and Jaccard index, which are currently used in the literature, are analyzed. A numerical example demonstrates the advantages of RMSMD ove

SUBMITTER: Sun Y 

PROVIDER: S-EPMC6249279 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature