Journal
NATURE METHODS
Volume 7, Issue 7, Pages 547-U94Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1472
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Funding
- Centre de Cooperation Internationale en Recherche Agronomique pour le Developpement
- Region Languedoc-Roussillon
- Institut National de la Recherche en Informatique et en Automatique
- European Union [IIF-022002]
- Agence Nationale de Recherche
- European Union (Morphex)
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Quantitative information on growing organs is required to better understand morphogenesis in both plants and animals. However, detailed analyses of growth patterns at cellular resolution have remained elusive. We developed an approach, multiangle image acquisition, three-dimensional reconstruction and cell segmentation-automated lineage tracking (MARS-ALT), in which we imaged whole organs from multiple angles, computationally merged and segmented these images to provide accurate cell identification in three dimensions and automatically tracked cell lineages through multiple rounds of cell division during development. Using these methods, we quantitatively analyzed Arabidopsis thaliana flower development at cell resolution, which revealed differential growth patterns of key regions during early stages of floral morphogenesis. Lastly, using rice roots, we demonstrated that this approach is both generic and scalable.
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