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dc.contributor.authorShuang, Bo
Byers, Chad P.
Kisley, Lydia
Wang, Lin-Yung
Zhao, Julia
Morimura, Hiroyuki
Link, Stephan
Landes, Christy F.
dc.date.accessioned 2014-12-15T20:35:10Z
dc.date.available 2014-12-15T20:35:10Z
dc.date.issued 2013
dc.identifier.citation Shuang, Bo, Byers, Chad P., Kisley, Lydia, et al.. "Improved Analysis for Determining Diffusion Coefficients from Short, Single-Molecule Trajectories with Photoblinking." Langmuir, 29, no. 1 (2013) American Chemical Society: 228-234. http://dx.doi.org/10.1021/la304063j.
dc.identifier.urihttps://hdl.handle.net/1911/78758
dc.description.abstract Two Maximum Likelihood Estimation (MLE) methods were developed for optimizing the analysis of single-molecule trajectories that include phenomena such as experimental noise, photoblinking, photobleaching, and translation or rotation out of the collection plane. In particular,short, single-molecule trajectories with photoblinking were studied, and our method was compared with existing analytical techniques applied to simulated data. The optimal method for various experimental cases was established, and the optimized MLE method was applied to a real experimental system: single-molecule diffusion of fluorescent molecular machines known as nanocars.
dc.language.iso eng
dc.publisher American Chemical Society
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the American Chemical Society.
dc.title Improved Analysis for Determining Diffusion Coefficients from Short, Single-Molecule Trajectories with Photoblinking
dc.type Journal article
dc.contributor.funder Welch Foundation
dc.contributor.funder National Science Foundation
dc.contributor.funder National Institutes of Health
dc.citation.journalTitle Langmuir
dc.contributor.org Rice Quantum Institute
dc.citation.volumeNumber 29
dc.citation.issueNumber 1
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1021/la304063j
dc.identifier.pmcid PMC3648847
dc.identifier.pmid 23215347
dc.identifier.grantID C-1787 (Welch Foundation)
dc.identifier.grantID CBET-1133965 (National Science Foundation)
dc.identifier.grantID CHE-1151647 (National Science Foundation)
dc.identifier.grantID GM94246-01A1 (National Institutes of Health)
dc.identifier.grantID C-1664 (Welch Foundation)
dc.identifier.grantID CHE-1007483 (National Science Foundation)
dc.identifier.grantID 0940902 (National Science Foundation)
dc.type.publication post-print
dc.citation.firstpage 228
dc.citation.lastpage 234


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