Troika of single particle tracking programing: SNR enhancement, particle identification, and mapping

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dc.citation.firstpage624
dc.citation.issueNumber2
dc.citation.journalTitlePhysical Chemistry Chemical Physics
dc.citation.lastpage634
dc.citation.volumeNumber16
dc.contributor.authorShuang, Bo
dc.contributor.authorChen, Jixin
dc.contributor.authorKisley, Lydia
dc.contributor.authorLandes, Christy F.
dc.date.accessioned2015-03-16T16:56:09Z
dc.date.available2015-03-16T16:56:09Z
dc.date.issued2014
dc.description.abstractSingle particle tracking (SPT) techniques provide a microscopic approach to probe in vivo and in vitro structure and reactions. Automatic analysis of SPT data with high efficiency and accuracy spurs the development of SPT algorithms. In this perspective, we review a range of available techniques used in SPT analysis programs. In addition, we present an example SPT program step-by-step to provide a guide so that researchers can use, modify, and/or write a SPT program for their own purposes.
dc.identifier.citationShuang, Bo, Chen, Jixin, Kisley, Lydia, et al.. "Troika of single particle tracking programing: SNR enhancement, particle identification, and mapping." <i>Physical Chemistry Chemical Physics,</i> 16, no. 2 (2014) Royal Society of Chemistry: 624-634. http://dx.doi.org/10.1039/C3CP53968G.
dc.identifier.doihttp://dx.doi.org/10.1039/C3CP53968G
dc.identifier.urihttps://hdl.handle.net/1911/79344
dc.language.isoeng
dc.publisherRoyal Society of Chemistry
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Royal Society of Chemistry
dc.titleTroika of single particle tracking programing: SNR enhancement, particle identification, and mapping
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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