title: Advanced imaging techniques for the study of plant growth and development.
abstract: A variety of imaging methodologies are being used to collect data for quantitative studies of plant growth and development from living plants. Multi-level data, from macroscopic to molecular, and from weeks to seconds, can be acquired. Furthermore, advances in parallelized and automated image acquisition enable the throughput to capture images from large populations of plants under specific growth conditions. Image-processing capabilities allow for 3D or 4D reconstruction of image data and automated quantification of biological features. These advances facilitate the integration of imaging data with genome-wide molecular data to enable systems-level modeling.
authors.affiliation: Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC 27695, USA.
authors.forename: Rosangela
authors.initials: R
authors.lastname: Sozzani
authors.affiliation: Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, 1030 Vienna, Austria.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Busch
authors.affiliation: Department of Botany, University of Wisconsin, Madison, WI 53706 USA.
authors.forename: Edgar P
authors.initials: EP
authors.lastname: Spalding
authors.affiliation: Department of Biology, Duke Center for Systems Biology, and Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA. Electronic address: philip.benfey@duke.edu.
authors.forename: Philip N
authors.initials: PN
authors.lastname: Benfey
mesh_terms: D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D010641:Phenotype; D063245:Plant Development; D010944:Plants / Q000235:genetics*; D049490:Systems Biology; D013997:Time Factors
keywords: imaging techniques; plant growth and development; systems-level modeling