A convolutional neural network for segmentation of yeast cells without manual training annotations

MOTIVATION: Single-cell time-lapse microscopy is a ubiquitous tool for studying the dynamics of complex cellular processes. While imaging can be automated to generate very large volumes of data, the processing of the resulting movies to extract high-quality single-cell information remains a challeng...

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Detalles Bibliográficos
Autores principales: Kruitbosch, Herbert T, Mzayek, Yasmin, Omlor, Sara, Guerra, Paolo, Milias-Argeitis, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825468/
https://www.ncbi.nlm.nih.gov/pubmed/34893817
http://dx.doi.org/10.1093/bioinformatics/btab835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825468/
https://www.ncbi.nlm.nih.gov/pubmed/34893817
http://dx.doi.org/10.1093/bioinformatics/btab835

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