SeeVis—3D space-time cube rendering for visualization of microfluidics image data

MOTIVATION: Live cell imaging plays a pivotal role in understanding cell growth. Yet, there is a lack of visualization alternatives for quick qualitative characterization of colonies. RESULTS: SeeVis is a Python workflow for automated and qualitative visualization of time-lapse microscopy data. It a...

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Detalles Bibliográficos
Autores principales: Hattab, Georges, Nattkemper, Tim W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513157/
https://www.ncbi.nlm.nih.gov/pubmed/30346487
http://dx.doi.org/10.1093/bioinformatics/bty889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513157/
https://www.ncbi.nlm.nih.gov/pubmed/30346487
http://dx.doi.org/10.1093/bioinformatics/bty889

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