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Light Acquisition

Light Acquisition

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Related Experiment Video

Updated: May 24, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

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 method for quantifying growth patterns at the adaxial leaf surface in three dimensions.

Lauren Remmler¹, Anne-Gaëlle Rolland-Lagan

¹Department of Biology, University of Ottawa, Ontario, Canada K1N 6N5.

Plant Physiology

|March 10, 2012

Summary

Quantifying leaf growth patterns in 3D reveals spatiotemporal variations. This novel method tracks surface growth to understand organ development and shape control in plants like Arabidopsis thaliana.

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Last Updated: May 24, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

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Published on: December 2, 2016

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Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

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Published on: April 26, 2016

Area of Science:

Plant biology
Developmental biology
Biophysics

Background:

Organ development involves complex spatiotemporal growth variations influencing final shape and size.
Understanding these growth dynamics is key to deciphering organogenesis and shape control mechanisms.

Purpose of the Study:

To develop and validate a novel computational method for quantifying spatial growth patterns on the adaxial leaf surface.
To enable detailed analysis of growth variations in three dimensions throughout organ development.

Main Methods:

A semiautomated method tracking microscopic fluorescent particles on the leaf surface in 3D.
Generation of mean growth descriptor maps (relative growth, directionality, anisotropy) from multiple samples.
Application to the first rosette leaf of Arabidopsis thaliana.

Main Results:

Identified clear spatiotemporal growth patterns on the Arabidopsis leaf surface.
Results suggest correlations between growth patterns and potential gradients of growth-regulating substances.
Demonstrated the method's applicability to young and non-flat leaves.

Conclusions:

The developed method provides a robust tool for quantifying leaf surface growth with high throughput.
Enables standardized comparative analyses of plant organ growth patterns.
Offers insights into the regulation of organ shape through spatiotemporal growth dynamics.