SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics-Reference-Cited by-同舟云学术

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SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics

Published:2021-09 Issue: Volume:193 Page:16-26
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Karslake Joshua D.,Donarski Eric D.,Shelby Sarah A.,Demey Lucas M.,DiRita Victor J.,Veatch Sarah L.,Biteen Julie S.

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference36 articles.

1. Tracking single molecules at work in living cells;Kusumi;Nat. Chem. Biol.,2014

2. Exploring bacterial cell biology with single-molecule tracking and super-resolution imaging;Gahlmann;Nat. Rev. Microbiol.,2014

3. Unraveling the thousand word picture: an introduction to super-resolution data analysis;Lee;Chem. Rev.,2017

4. Measuring a diffusion coefficient by single-particle tracking: statistical analysis of experimental mean squared displacement curves;Ernst;Phys. Chem. Chem. Phys.,2013

5. Measuring molecular motions inside single cells with improved analysis of single-particle trajectories;Rowland;Chem. Phys. Lett.,2017

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