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Trajectory energy minimization for cell growth tracking and genealogy analysis
Cell growth experiments with a microfluidic device produce large-scale time-lapse image data, which contain important information on cell growth and patterns in their genealogy. To extract such information, we propose a scheme to segment and track bacterial cells automatically. In contrast with most...
Tallennettuna:
| Julkaisussa: | R Soc Open Sci |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
The Royal Society Publishing
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5451832/ https://ncbi.nlm.nih.gov/pubmed/28573031 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.170207 |
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