Rolland-Lagan Lab @ University of Ottawa
|Operating system||windows, mac, matlab|
Computational Method for Quantifying Growth Patterns at the Adaxial Leaf Surface in Three DimensionsL. Remmler, A.-G. Rolland-LaganPLANT PHYSIOLOGY, 2017 View paper
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