Bayesian cluster identification in single-molecule localization microscopy data

被引：0
作者：
Patrick Rubin-Delanchy
Garth L Burn
Juliette Griffié
David J Williamson
Nicholas A Heard
Andrew P Cope
Dylan M Owen
机构：
[1] School of Mathematics,Department of Physics and Randall Division of Cell and Molecular Biophysics
[2] Heilbronn Institute for Mathematical Research,Department of Mathematics
[3] University of Bristol,Division of Immunology, Academic Department of Rheumatology
[4] King's College London,undefined
[5] Manchester Collaborative Centre for Inflammation Research,undefined
[6] University of Manchester,undefined
[7] Imperial College London,undefined
[8] Infection and Inflammatory Disease,undefined
[9] King's College London,undefined
来源：
Nature Methods | 2015年 / 12卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper reports a Bayesian approach for the automatic identification of the optimal clustering proposal in the analysis of single-molecule localization-based super-resolution data.
引用
收藏
页码：1072 / 1076
页数：4
相关论文
共 72 条
[1]  
Huang B(2010)Super-resolution optical microscopy: multiple choices Curr. Opin. Chem. Biol. 14 10-14
[2]  
Hell SW(1994)Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy Opt. Lett. 19 780-782
[3]  
Wichmann J(2013)Nanoscopy with more than 100,000 'doughnuts' Nat. Methods 10 737-740
[4]  
Chmyrov A(2006)Imaging intracellular fluorescent proteins at nanometer resolution Science 313 1642-1645
[5]  
Betzig E(2006)Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM) Nat. Methods 3 793-795
[6]  
Rust MJ(2008)Subdiffraction-resolution fluorescence imaging with conventional fluorescent probes Angew. Chem. Int. Ed. Engl. 47 6172-6176
[7]  
Bates M(2006)Ultra-high resolution imaging by fluorescence photoactivation localization microscopy Biophys. J. 91 4258-4272
[8]  
Zhuang X(2012)rapidSTORM: accurate, fast open-source software for localization microscopy Nat. Methods 9 1040-1041
[9]  
Heilemann M(2011)DAOSTORM: an algorithm for high-density super-resolution microscopy Nat. Methods 8 279-280
[10]  
Hess ST(2010)QuickPALM: 3D real-time photoactivation nanoscopy image processing in ImageJ Nat. Methods 7 339-340
12345678