Cargando…
Expectation maximization based framework for joint localization and parameter estimation in single particle tracking from segmented images
Single Particle Tracking (SPT) is a well known class of tools for studying the dynamics of biological macromolecules moving inside living cells. In this paper, we focus on the problem of localization and parameter estimation given a sequence of segmented images. In the standard paradigm, the locatio...
Autores principales: | Lin, Ye, Andersson, Sean B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139521/ https://www.ncbi.nlm.nih.gov/pubmed/34019541 http://dx.doi.org/10.1371/journal.pone.0243115 |
Ejemplares similares
-
Model Segmentation in Single Particle Tracking
por: Godoy, Boris I., et al.
Publicado: (2021) -
An Estimation Algorithm for General Linear Single Particle Tracking Models with Time-Varying Parameters
por: Godoy, Boris I., et al.
Publicado: (2021) -
Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework
por: Jain, Saurabh, et al.
Publicado: (2016) -
An expectation–maximization framework for comprehensive prediction of isoform-specific functions
por: Karlebach, Guy, et al.
Publicado: (2023) -
Load-Sharing Model under Lindley Distribution and Its Parameter Estimation Using the Expectation-Maximization Algorithm
por: Park, Chanseok, et al.
Publicado: (2020)