Entity

Time filter

Source Type


Fernandez R.,Institute National Of La Recherche En Informatique Et En Automatique | Fernandez R.,Institute National Of La Recherche En Informatique Et En Automatique | Das P.,French National Institute for Agricultural Research | Mirabet V.,French National Institute for Agricultural Research | And 5 more authors.
Nature Methods | Year: 2010

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. © 2010 Nature America, Inc. All rights reserved. Source

Discover hidden collaborations