Semi-automated 3D Leaf Reconstruction and Analysis of Trichome Patterning from Light Microscopic Images
PLoS Comput Biol, 9 (4):
e1003029 (April 2013)DOI: 10.1371/journal.pcbi.1003029
Abstract
<title>Author Summary</title><p>The patterning of trichomes (leaf hair) on the surface of a leaf is a paradigm for studying gene regulation in developmental processes. The statistical analysis of trichome patterning requires automated methods for the location of trichomes on a curved leaf surface. This is particularly challenging for young, strongly bent leaves. We have developed the TrichEratops software that reconstructs 3D leaf surfaces from 2D stacks of conventional light-microscopy pictures. TrichEratops also calculates statistical patterning features, thereby greatly facilitating the whole data acquisition process. We show, using two <italic>Arabidopsis thaliana</italic> mutants, that 3D modeling removes biases and increases the discriminatory power of trichome pattern analysis.</p>
Description
PLOS Computational Biology: Semi-automated 3D Leaf Reconstruction and Analysis of Trichome Patterning from Light Microscopic Images