Ultrafast,accurate,and robust localization of anisotropic dipoles  

作　　者：Yongdeng Zhang Lusheng Gu Hao Chang Wei Ji Yan Chen Mingshu Zhang Lu Yang Bei Liu Liangyi Chen Tao Xu 

机构地区：[1]College of Life Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China [2]National Laboratory of Biomacromolecules,Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China [3]School of Life Sciences,University of Science and Technology of China,Hefei 230026,China [4]University of Chinese Academy of Sciences,Beijing 100049,China [5]Laboratory of Cell Secretion and Metabolism,Institute of Molecular Medicine,Peking University,Beijing 100871,China

出　　处：《Protein & Cell》2013年第8期598-606,共9页蛋白质与细胞（英文版）

基　　金：We thank L.L.Looger(Janelia Farm Research Campus)for providing the mEos2 cDNA and Toshio Yanagida(Osaka University,Japan)for sharing the Q rods.This work was supported by grants from the National Basic Research Program(973 Program)(Nos.2010CB833701 and 2010CB912303);the National Key Technology R&D Program(SQ2011SF11B01041);the National Natural Science Foundation of China(Grant Nos.31130065,31170818,90913022,31127901,and 31100615);the Beijing Natural Science Foundation(7121008);the Chinese Academy of Sciences Project(KSCX1-1W-J-3,KSCX2-EWQ-11,and 2009-154-27).

摘　　要：The resolution of single molecule localization imaging techniques largely depends on the precision of localization algorithms.However,the commonly used Gaussian function is not appropriate for anisotropic dipoles because it is not the true point spread function.We derived the theoretical point spread function of tilted dipoles with restricted mobility and developed an algorithm based on an artifi cial neural network for estimating the localization,orientation and mobility of individual dipoles.Compared with fi tting-based methods,our algorithm demonstrated ultrafast speed and higher accuracy,reduced sensitivity to defocusing,strong robustness and adaptability,making it an optimal choice for both two-dimensional and threedimensional super-resolution imaging analysis.

关 键 词：point spread function restricted mobility artifi cial neural network super-resolution imaging 

分 类 号：TL5[核科学技术—核技术及应用]