%0 Journal Article %1 10.1371/journal.pcbi.1003029 %A Failmezger, Henrik %A Jaegle, Benjamin %A Schrader, Andrea %A Hülskamp, Martin %A Tresch, Achim %D 2013 %I Public Library of Science %J PLoS Comput Biol %K 3d ComputerVision biology microscopy recostruction software %N 4 %P e1003029 %R 10.1371/journal.pcbi.1003029 %T Semi-automated 3D Leaf Reconstruction and Analysis of Trichome Patterning from Light Microscopic Images %U http://dx.doi.org/10.1371%2Fjournal.pcbi.1003029 %V 9 %X <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>

@article{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>}, added-at = {2013-04-24T10:09:35.000+0200}, author = {Failmezger, Henrik and Jaegle, Benjamin and Schrader, Andrea and Hülskamp, Martin and Tresch, Achim}, biburl = {https://www.bibsonomy.org/bibtex/283fb99cbbda780647547306f32ccd30b/alex_ruff}, description = {PLOS Computational Biology: Semi-automated 3D Leaf Reconstruction and Analysis of Trichome Patterning from Light Microscopic Images}, doi = {10.1371/journal.pcbi.1003029}, interhash = {d3d33f4639f10a352dccaafb97797459}, intrahash = {83fb99cbbda780647547306f32ccd30b}, journal = {PLoS Comput Biol}, keywords = {3d ComputerVision biology microscopy recostruction software}, month = {04}, number = 4, pages = {e1003029}, publisher = {Public Library of Science}, timestamp = {2013-04-24T10:09:35.000+0200}, title = {Semi-automated 3D Leaf Reconstruction and Analysis of Trichome Patterning from Light Microscopic Images}, url = {http://dx.doi.org/10.1371%2Fjournal.pcbi.1003029}, volume = 9, year = 2013 }