Your browser doesn't support javascript.
loading
Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds.
Ziamtsov, Illia; Navlakha, Saket.
Afiliação
  • Ziamtsov I; The Salk Institute for Biological Studies, Integrative Biology Laboratory, La Jolla, CA 92037, USA.
  • Navlakha S; Cold Spring Harbor Laboratory, Simons Center for Quantitative Biology, Cold Spring Harbor, NY 11724, USA.
Bioinformatics ; 36(12): 3949-3950, 2020 06 01.
Article em En | MEDLINE | ID: mdl-32232439
ABSTRACT
MOTIVATION Developing methods to efficiently analyze 3D point cloud data of plant architectures remain challenging for many phenotyping applications. Here, we describe a tool that tackles four core phenotyping tasks classification of cloud points into stem and lamina points, graph skeletonization of the stem points, segmentation of individual lamina and whole leaf labeling. These four tasks are critical for numerous downstream phenotyping goals, such as quantifying plant biomass, performing morphological analyses of plant shapes and uncovering genotype to phenotype relationships. The Plant 3D tool provides an intuitive graphical user interface, a fast 3D rendering engine for visualizing plants with millions of cloud points, and several graph-theoretic and machine-learning algorithms for 3D architecture analyses. AVAILABILITY AND IMPLEMENTATION P3D is open-source and implemented in C++. Source code and Windows installer are freely available at https//github.com/iziamtso/P3D/. CONTACT iziamtso@ucsd.edu or navlakha@cshl.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software Idioma: En Ano de publicação: 2020 Tipo de documento: Article