Cargando…
Quantifying yeast colony morphologies with feature engineering from time-lapse photography
Baker’s yeast (Saccharomyces cerevisiae) is a model organism for studying the morphology that emerges at the scale of multi-cell colonies. To look at how morphology develops, we collect a dataset of time-lapse photographs of the growth of different strains of S. cerevisiae. We discuss the general st...
Autores principales: | Goldschmidt, Andy, Kunert-Graf, James, Scott, Adrian C., Tan, Zhihao, Dudley, Aimée M., Kutz, J. Nathan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114130/ https://www.ncbi.nlm.nih.gov/pubmed/35581201 http://dx.doi.org/10.1038/s41597-022-01340-3 |
Ejemplares similares
-
Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project
por: Jones, Fiona M., et al.
Publicado: (2018) -
Time-lapse confocal imaging datasets to assess structural and dynamic properties of subcellular nanostructures
por: Ferri, Gianmarco, et al.
Publicado: (2018) -
Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations
por: Ker, Dai Fei Elmer, et al.
Publicado: (2018) -
Processing citizen science- and machine-annotated time-lapse imagery for biologically meaningful metrics
por: Jones, Fiona M., et al.
Publicado: (2020) -
ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells
por: Antonelli, Laura, et al.
Publicado: (2023)