Imaging plant growth in 4D: robust tissue reconstruction and lineaging at cell resolution View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-07

AUTHORS

Romain Fernandez, Pradeep Das, Vincent Mirabet, Eric Moscardi, Jan Traas, Jean-Luc Verdeil, Grégoire Malandain, Christophe Godin

ABSTRACT

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. More... »

PAGES

547

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1472

DOI

http://dx.doi.org/10.1038/nmeth.1472

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037563696

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20543845


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