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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...
Autores principales: | Hattab, Georges, Nattkemper, Tim W |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
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 |
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