Semiparametric point process modeling of blinking artifacts in PALM
暂无分享,去创建一个
[1] B. Ripley. The Second-Order Analysis of Stationary Point Processes , 1976 .
[2] Eva B. Vedel Jensen,et al. Double Cox cluster processes — with applications to photoactivated localization microscopy , 2018, Spatial Statistics.
[3] Ute Hahn,et al. Global envelope tests for spatial processes , 2013, 1307.0239.
[4] Yu Lin,et al. A hidden Markov model approach to characterizing the photo-switching behavior of fluorophores , 2017, bioRxiv.
[5] D. Stoyan. On Correlations of Marked Point Processes , 1984 .
[6] M. Unser,et al. Virtual-SMLM, a virtual environment for real-time interactive SMLM acquisition , 2020, bioRxiv.
[7] A. Small,et al. Fluorophore localization algorithms for super-resolution microscopy , 2014, Nature Methods.
[8] Masahito Yamanaka,et al. Introduction to super-resolution microscopy. , 2014, Microscopy.
[9] P. Annibale,et al. Identification of clustering artifacts in photoactivated localization microscopy , 2011, Nature Methods.
[10] G. Hummer,et al. Model-independent counting of molecules in single-molecule localization microscopy , 2016, Molecular biology of the cell.
[11] Jonas Ries. SMAP: a modular super-resolution microscopy analysis platform for SMLM data , 2020, Nature Methods.
[12] Gerhard Hummer,et al. Molecule Counts in Localization Microscopy with Organic Fluorophores. , 2017, Chemphyschem : a European journal of chemical physics and physical chemistry.
[13] Ulf Matti,et al. Nuclear pores as versatile reference standards for quantitative superresolution microscopy , 2019, Nature Methods.
[14] C. Bustamante,et al. Counting single photoactivatable fluorescent molecules by photoactivated localization microscopy (PALM) , 2012, Proceedings of the National Academy of Sciences.
[15] Zhiping Lin,et al. Quantitative Aspects of Single-Molecule Microscopy: Information-theoretic analysis of single-molecule data , 2015, IEEE Signal Processing Magazine.
[16] Esko Valkeila,et al. An Introduction to the Theory of Point Processes, Volume II: General Theory and Structure, 2nd Edition by Daryl J. Daley, David Vere‐Jones , 2008 .
[17] A Radenovic,et al. Challenges in quantitative single molecule localization microscopy , 2014, FEBS letters.
[18] Benjamin B. Machta,et al. Correlation Functions Quantify Super-Resolution Images and Estimate Apparent Clustering Due to Over-Counting , 2011, PloS one.
[19] R. Davies. Numerical inversion of a characteristic function , 1973 .
[20] Ismail M. Khater,et al. A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods , 2020, Patterns.
[21] A. Munk,et al. Statistical Molecule Counting in Super-Resolution Fluorescence Microscopy: Towards Quantitative Nanoscopy , 2019, Statistical Science.
[22] Fang Huang,et al. Quantifying and Optimizing Single-Molecule Switching Nanoscopy at High Speeds , 2015, PloS one.
[23] J. Lippincott-Schwartz,et al. Interferometric fluorescent super-resolution microscopy resolves 3D cellular ultrastructure , 2009, Proceedings of the National Academy of Sciences.
[24] J. Møller,et al. Handbook of Spatial Statistics , 2008 .
[25] S. Hess,et al. Precisely and accurately localizing single emitters in fluorescence microscopy , 2014, Nature Methods.
[26] Astrid Magenau,et al. Pre-existing clusters of the adaptor Lat do not participate in early T cell signaling events , 2011, Nature Immunology.
[27] J. Lippincott-Schwartz,et al. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution , 2006, Science.
[28] J. Zerubia,et al. Gaussian approximations of fluorescence microscope point-spread function models. , 2007, Applied optics.
[29] P. Annibale,et al. Quantitative Photo Activated Localization Microscopy: Unraveling the Effects of Photoblinking , 2011, PloS one.
[30] Mark Bates,et al. Super-resolution fluorescence microscopy. , 2009, Annual review of biochemistry.
[31] Roland Eils,et al. One, two or three? Probing the stoichiometry of membrane proteins by single-molecule localization microscopy , 2015, Scientific Reports.
[32] Maximilian T. Strauss,et al. Super-resolution microscopy with DNA-PAINT , 2017, Nature Protocols.
[33] Steve Pressé,et al. Stochastic approach to the molecular counting problem in superresolution microscopy , 2014, Proceedings of the National Academy of Sciences.
[34] W. Hűrlimann. Improved FFT Approximations of Probability Functions Based on Modified Quadrature Rules , 2013 .
[35] Michael J Rust,et al. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM) , 2006, Nature Methods.
[36] Carla Coltharp,et al. Accurate Construction of Photoactivated Localization Microscopy (PALM) Images for Quantitative Measurements , 2012, PloS one.
[37] Prabuddha Sengupta,et al. Probing protein heterogeneity in the plasma membrane using PALM and pair correlation analysis , 2011, Nature Methods.
[38] Guy M. Hagen,et al. ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging , 2014, Bioinform..