title: [Numerical Analysis of Particle Trajectories in Living Cells under Uncertainty Conditions].
abstract: We have developed a numerical method for the analysis of particle trajectories in living cells, where a type of movement is determined by Akaike's information criterion, while model parameters are identified by a weighted least squares method. The method is realized in computer software, written in the Java programming language, that enables us to automatically conduct the analysis of trajectories. The method is tested on synthetic trajectories with known parameters, and applied to the analysis of replication complexes in cells, infected with hepatitis C virus. Results of the analysis are in agreement with available data on the movement of biological objects along microtubules.
authors.forename: A S
authors.initials: AS
authors.lastname: Pisarev
authors.forename: S A
authors.initials: SA
authors.lastname: Rukolaine
authors.forename: A M
authors.initials: AM
authors.lastname: Samsonov
authors.forename: M G
authors.initials: MG
authors.lastname: Samsonova
mesh_terms: D002465:Cell Movement; D058948:Cell Tracking / Q000379:methods*; D016174:Hepacivirus / Q000254:growth & development / Q000472:pathogenicity; D022781:Hepatocytes / Q000502:physiology*; D006801:Humans; D012984:Software; D035501:Uncertainty