title: Troika of single particle tracking programing: SNR enhancement, particle identification, and mapping.
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.
authors.affiliation: Department of Chemistry, Rice University, Houston, Texas, USA.
authors.forename: Bo
authors.initials: B
authors.lastname: Shuang
authors.forename: Jixin
authors.initials: J
authors.lastname: Chen
authors.forename: Lydia
authors.initials: L
authors.lastname: Kisley
authors.forename: Christy F
authors.initials: CF
authors.lastname: Landes
mesh_terms: D000465:Algorithms; D004247:DNA / Q000737:chemistry*; D010316:Particle Size; D012984:Software
chemical_list: D004247:DNA