Watch great talks from Jonathan Lynch, Hendrik Poorter, Washingthon Mio and others at the NimBIOS Workshop: Morphological Plant Modeling. LINK
DIRT Online FOCUS FORUM @ iPlant, January 29th 2016. Register here.
"10 ways advanced computing catalyzes science" and DIRT is one of them.
DIRT again in the news Link
Won a travel award for outstanding presentation from the College of Computing at the 2nd GT PostDoc Symposium
Dan Chitwood and myself organize the NIMBioS workshop "Morphological Plant Models". REGISTER HERE
Earned the "Certificate of Outstanding Contribution in Reviewing" from Elsevier LINK
Our article on high throughput root phenotyping is the cover story of Plant Physiology !! DOWNLOAD
Congratulations to Charles Wigington who got the 2nd runners up honors for his first poster at the Biology Retreat! DOWNLOAD
Just out and already in the news: "A Practical Introduction to Skeletons for the Plant Sciences." News alert and DOWNLOAD
Abhiram Das first paper "ClearedLeavesDB: an online database of cleared plant leaf image." became an Plant Methods Editor Pick DOWNLOAD
PLoS One: The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion DOWNLOAD
IEEE GRSL: Breast height diameter estimation in high density airborne LiDAR data a novel concept to assess trees from the air. DOWNLOAD
New paper published: Localized registration of point clouds of botanic trees. DOWNLOAD
Wanna know about Fiber Walks?
Fiber Walks are self-avoiding random walks that include lateral expansion. Lateral expansion is perpendicular to the growth direction and constructed as a contraction of the square lattice in which a fiber is growing. The research of lateral expansion resulted in fascinating features like faster divergence from the origin compared to the unexpanded walk or the existence of areas where branching is necessary to reach them with a growth process.
The fiber walk is inspired by the growth of plant roots and parallels experimental discoveries as well as providing new theoretical discoveries.
If you like to read about the details check out our paper: PLoS One Link
If you want to play yourself then download the python demo: GitHub Link