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

Bo Shuang | Zendy; Jixin Chen | Zendy; Lydia Kisley | Zendy; Christy F. Landes | Zendy

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

Author(s) -

Bo Shuang,

Jixin Chen,

Lydia Kisley,

Christy F. Landes

Publication year - 2013

Publication title -

physical chemistry chemical physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.053

H-Index - 239

eISSN - 1463-9084

pISSN - 1463-9076

DOI - 10.1039/c3cp53968g

Subject(s) - tracking (education) , particle (ecology) , range (aeronautics) , computer science , identification (biology) , particle identification , perspective (graphical) , engineering , artificial intelligence , aerospace engineering , telecommunications , psychology , pedagogy , oceanography , botany , detector , biology , geology

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.

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