Cargando…
Identifying cell-to-cell variability in internalization using flow cytometry
Biological heterogeneity is a primary contributor to the variation observed in experiments that probe dynamical processes, such as the internalization of material by cells. Given that internalization is a critical process by which many therapeutics and viruses reach their intracellular site of actio...
Autores principales: | Browning, Alexander P., Ansari, Niloufar, Drovandi, Christopher, Johnston, Angus P. R., Simpson, Matthew J., Jenner, Adrianne L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131125/ https://www.ncbi.nlm.nih.gov/pubmed/35611619 http://dx.doi.org/10.1098/rsif.2022.0019 |
Ejemplares similares
-
Estimating parameters of a stochastic cell invasion model with fluorescent cell cycle labelling using approximate Bayesian computation
por: Carr, Michael J., et al.
Publicado: (2021) -
Parameter estimation and uncertainty quantification using information geometry
por: Sharp, Jesse A., et al.
Publicado: (2022) -
A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling
por: Klowss, Jonah J., et al.
Publicado: (2022) -
Intent matters: how flow and forms of information impact collective navigation
por: Hodgson, T. M., et al.
Publicado: (2023) -
Efficient inference and identifiability analysis for differential equation models with random parameters
por: Browning, Alexander P., et al.
Publicado: (2022)