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Tracking algorithms chase down pathogens
Author(s) -
Chenouard Nicolas,
Dufour Alexandre,
OlivoMarin JeanChristophe
Publication year - 2009
Publication title -
biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 84
eISSN - 1860-7314
pISSN - 1860-6768
DOI - 10.1002/biot.200900030
Subject(s) - tracking (education) , computer science , host (biology) , computational biology , subcellular localization , biology , microbiology and biotechnology , genetics , cytoplasm , psychology , pedagogy
Understanding subcellular dynamic processes governing pathogenic mechanisms is a necessary step towards the development of new drugs and strategies against infectious diseases. Subcellular pathogenic mechanisms, such as viral invasion processes involve highly dynamic nanometric‐scale objects and rapid molecular interactions that require the study of individual particle paths. Single‐particle tracking methods allow visualizing and characterizing the dynamics of biological objects, and provide a straightforward and accurate means to understand subcellular processes. This review describes a number of particle‐tracking methods in time‐lapse microscopy sequences and provides examples of using such techniques to investigate mechanisms of host‐pathogen interactions.