Leaf Growth


Rolland-Lagan Lab @ University of Ottawa

Overview

Measured variables growth
Operating system windows, mac, matlab
Licence freeware
Automation level automated
Plant requirements arabidopsis
Export formats unknown
Other information -

Scientific article(s)

Computational Method for Quantifying Growth Patterns at the Adaxial Leaf Surface in Three Dimensions
L. Remmler, A.-G. Rolland-Lagan
PLANT PHYSIOLOGY, 2017 View paper

Description

Leaf Growth is a computational tools to quantify spatial patterns of growth from three-dimensional data at the adaxial surface of leaves. Growth patterns are first calculated by semiautomatically tracking microscopic fluorescent particles applied to the leaf surface. Results from multiple leaf samples are then combined to generate mean maps of various growth descriptors, including relative growth, directionality, and anisotropy.


Source: Leaf Growth website

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