DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

Improvements in microscopy software and hardware have dramatically increased the pace of image acquisition, making analysis a major bottleneck in generating quantitative, single-cell data. Although tools for segmenting and tracking bacteria within time-lapse images exist, most require human input, a...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Connor, Owen M., Alnahhas, Razan N., Lugagne, Jean-Baptiste, Dunlop, Mary J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797229/
https://www.ncbi.nlm.nih.gov/pubmed/35041653
http://dx.doi.org/10.1371/journal.pcbi.1009797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797229/
https://www.ncbi.nlm.nih.gov/pubmed/35041653
http://dx.doi.org/10.1371/journal.pcbi.1009797

Ejemplares similares