Detection of Diffusion Heterogeneity in Single Particle Tracking Trajectories Using a Hidden Markov Model with Measurement Noise Propagation

We develop a Bayesian analysis framework to detect heterogeneity in the diffusive behaviour of single particle trajectories on cells, implementing model selection to classify trajectories as either consistent with Brownian motion or with a two-state (diffusion coefficient) switching model. The incor...

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Detalles Bibliográficos
Autores principales: Slator, Paddy J., Cairo, Christopher W., Burroughs, Nigel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608688/
https://www.ncbi.nlm.nih.gov/pubmed/26473352
http://dx.doi.org/10.1371/journal.pone.0140759

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