Cargando…
DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis
Automating the extraction of meaningful temporal information from sequences of microscopy images represents a major challenge to characterize dynamical biological processes. So far, strong limitations in the ability to quantitatively analyze single-cell trajectories have prevented large-scale invest...
Autores principales: | Aspert, Théo, Hentsch, Didier, Charvin, Gilles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444243/ https://www.ncbi.nlm.nih.gov/pubmed/35976090 http://dx.doi.org/10.7554/eLife.79519 |
Ejemplares similares
-
Monitoring single-cell dynamics of entry into quiescence during an unperturbed life cycle
por: Jacquel, Basile, et al.
Publicado: (2021) -
DNA circles promote yeast ageing in part through stimulating the reorganization of nuclear pore complexes
por: Meinema, Anne C, et al.
Publicado: (2022) -
Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow
por: Constantinou, Iordania, et al.
Publicado: (2019) -
Distinct mechanisms underlie H(2)O(2) sensing in C. elegans head and tail
por: Quintin, Sophie, et al.
Publicado: (2022) -
The roles of GpsB and DivIVA in Staphylococcus aureus growth and division
por: Sutton, Joshua A. F., et al.
Publicado: (2023)