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dc.citation.endPage 5272 -
dc.citation.number 12 -
dc.citation.startPage 5266 -
dc.citation.title LANGMUIR -
dc.citation.volume 22 -
dc.contributor.author Anthony, Stephen -
dc.contributor.author Zhang, Liangfang -
dc.contributor.author Granick, Steve -
dc.date.accessioned 2023-12-22T10:06:08Z -
dc.date.available 2023-12-22T10:06:08Z -
dc.date.created 2020-07-29 -
dc.date.issued 2006-06 -
dc.description.abstract Methods are discussed to track single molecules in planar-supported phospholipid bilayers. Mainly, these methods constitute optimizations for a low signal-to-noise ratio and for the dim optical characteristics of single molecules. Algorithmic modifications to compensate and correct for misidentifications and misassignments are also described. One key advance, which exchanges the typically fragmented reconstruction of the molecules' motion for more complete trajectories, is the incorporation of information about the molecules' past and future positions into the tracking. Although the main point of these methods is to aid in extending methods of object tracking to the single-molecule regime, they may also find use in other situations where the signal-to-noise ratio is low. -
dc.identifier.bibliographicCitation LANGMUIR, v.22, no.12, pp.5266 - 5272 -
dc.identifier.doi 10.1021/la060244i -
dc.identifier.issn 0743-7463 -
dc.identifier.scopusid 2-s2.0-33745469552 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/47327 -
dc.identifier.url https://pubs.acs.org/doi/10.1021/la060244i -
dc.identifier.wosid 000237921100015 -
dc.language 영어 -
dc.publisher AMER CHEMICAL SOC -
dc.title Methods to track single-molecule trajectories -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary; Chemistry, Physical; Materials Science, Multidisciplinary -
dc.relation.journalResearchArea Chemistry; Materials Science -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus DIGITAL VIDEO MICROSCOPY -
dc.subject.keywordPlus SELF-DIFFUSION -

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