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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |