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DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning
Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy data, typically requiring human oversight and curation, which limit both accuracy and throughput. To address this, we developed a deep learning-based image analysis pipeline that performs segmentation, tracki...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153852/ https://www.ncbi.nlm.nih.gov/pubmed/32282792 http://dx.doi.org/10.1371/journal.pcbi.1007673 |