Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms

This paper presents a novel method for tracking and characterizing adherent cells in monolayer culture. A system of cell tracking employing computer vision techniques was applied to time-lapse videos of replicate normal human uro-epithelial cell cultures exposed to different concentrations of adenos...

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Detalles Bibliográficos
Autores principales: Zhang, Zhen, Bedder, Matthew, Smith, Stephen L., Walker, Dawn, Shabir, Saqib, Southgate, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Ireland 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028014/
https://www.ncbi.nlm.nih.gov/pubmed/27267455
http://dx.doi.org/10.1016/j.biosystems.2016.05.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028014/
https://www.ncbi.nlm.nih.gov/pubmed/27267455
http://dx.doi.org/10.1016/j.biosystems.2016.05.009

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