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Updated: May 22, 2026
08:31
Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
Published on: December 2, 2016
Computational tools for quantitative analysis of cell growth patterns and morphogenesis in actively developing plant
Anirban Chakraborty1, Ram Kishor Yadav, Min Liu
1Department of Electrical Engineering, University of California, Riverside, CA, USA.
Methods in Molecular Biology (Clifton, N.J.)
|May 12, 2012
Summary
Understanding plant development requires analyzing cell behaviors and gene expression patterns. New computational tools help model growth dynamics in Arabidopsis shoot apical meristems for developmental biology insights.
Area of Science:
- Developmental biology
- Computational biology
- Plant science
Background:
- Pattern formation in developing organisms relies on cell communication and gene regulation.
- Understanding spatial and temporal dynamics of cell behaviors is key to modeling development.
Purpose of the Study:
- To present computational methods for analyzing growth patterns in plant development.
- To provide tools for quantitative analysis of cell behaviors and gene expression.
Main Methods:
- Image analysis
- Statistical modeling
- Pattern recognition
- Machine learning
- Dynamical system identification
Main Results:
- Developed computational toolkit for analyzing local and global growth patterns.
- Enables insights into causal links between cell growth, division, gene expression, and organ development.
Conclusions:
- Computational tools are essential for dissecting complex developmental processes.
- Future work may lead to function space models and pathway clustering for cell behaviors.
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