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An Algorithm to Automate Yeast Segmentation and Tracking
Our understanding of dynamic cellular processes has been greatly enhanced by rapid advances in quantitative fluorescence microscopy. Imaging single cells has emphasized the prevalence of phenomena that can be difficult to infer from population measurements, such as all-or-none cellular decisions, ce...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3592893/ https://ncbi.nlm.nih.gov/pubmed/23520484 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0057970 |
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