Cory J Tobin

Learn More
Computational morphodynamics utilizes computer modeling to understand the development of living organisms over space and time. Results from biological experiments are used to construct accurate and predictive models of growth. These models are then used to make novel predictions that provide further insight into the processes involved, which can be tested(More)
The emerging field of computational morphodynamics aims to understand the changes that occur in space and time during development by combining three technical strategies: live imaging to observe development as it happens; image processing and analysis to extract quantitative information; and computational modelling to express and test time-dependent(More)
The stereotypic pattern of cell shapes in the Arabidopsis shoot apical meristem (SAM) suggests that strict rules govern the placement of new walls during cell division. When a cell in the SAM divides, a new wall is built that connects existing walls and divides the cytoplasm of the daughter cells. Because features that are determined by the placement of new(More)
Cells in the Arabidopsis shoot apical meristem are small and divide frequently throughout the life-time of the organism making them good candidates for studying the mechanisms of cell division in plants. But tracking these cell divisions requires multiple images to be taken of the same specimen over time which means the specimen must stay alive throughout(More)
With regard to our recent Opinion article (Computational morphodynamics of plants: integrating development over space and time. Nature Rev. Mol. Cell Biol. 12, 265–273 (2011))1, we thank Alvarez‐Buylla and col‐ leagues for their correspondence (Mutually reinforcing patterning mechanisms. Nature Rev. Mol. Cell Biol. 23 Jun 2011 (doi:10.1038/ nrm3079‐c1))2(More)
  • 1