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A novel multitarget tracking algorithm for Myosin VI protein molecules on actin filaments in TIRFM sequences
Author(s) -
LI G.,
SANCHEZ V.,
NAGARAJ P.C.S.B.,
KHAN S.,
RAJPOOT N.
Publication year - 2015
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.12299
Subject(s) - actin , myosin , protein filament , algorithm , tracking (education) , biophysics , filamin , computational biology , microbiology and biotechnology , chemistry , biology , physics , computer science , cytoskeleton , biochemistry , cell , psychology , pedagogy
Summary We propose a novel multitarget tracking framework for Myosin VI protein molecules in total internal reflection fluorescence microscopy sequences which integrates an extended Hungarian algorithm with an interacting multiple model filter. The extended Hungarian algorithm, which is a linear assignment problem based method, helps to solve measurement assignment and spot association problems commonly encountered when dealing with multiple targets, although a two‐motion model interacting multiple model filter increases the tracking accuracy by modelling the nonlinear dynamics of Myosin VI protein molecules on actin filaments. The evaluation of our tracking framework is conducted on both real and synthetic total internal reflection fluorescence microscopy sequences. The results show that the framework achieves higher tracking accuracies compared to the state‐of‐the‐art tracking methods, especially for sequences with high spot density.