Localization errors comparison
收藏DataCite Commons2022-05-31 更新2024-07-28 收录
下载链接：
https://opticapublishing.figshare.com/articles/dataset/Localization_errors_comparison/13661132
下载链接
链接失效反馈官方服务：
资源简介：
Comparison of localization error for several single-particle localization algorithms (RVT, FRST, OAT, Radcenter, Gaussian fit, XCorr, QI, C-Sym, TrackPy) on various kinds of particle PSFs and noise backgrounds.
提供机构：
Optica Publishing Group
创建时间：
2021-03-04
