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Issue 2, 2014
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Troika of single particle tracking programing: SNR enhancement, particle identification, and mapping

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Abstract

Single 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.

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

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Publication details

The article was received on 19 Sep 2013, accepted on 05 Nov 2013 and first published on 12 Nov 2013


Article type: Perspective
DOI: 10.1039/C3CP53968G
Citation: Phys. Chem. Chem. Phys., 2014,16, 624-634
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    Troika of single particle tracking programing: SNR enhancement, particle identification, and mapping

    B. Shuang, J. Chen, L. Kisley and C. F. Landes, Phys. Chem. Chem. Phys., 2014, 16, 624
    DOI: 10.1039/C3CP53968G

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