An automated image-processing pipeline for high-throughput analysis of root architecture in OpenAlea

Julien Diener Virtual Plants, INRIA, CIRAD, INRA
Philippe Nacry Biochimie et Physiologie Moléculaire des Plantes, INRA, CNRS, UM2, 34060 Montpellier, France
Christophe Périn UMR DAP, CIRAD, 34398 Montpellier, France
Anne Dievart UMR DAP, CIRAD, 34398 Montpellier, France
Xavier Draye Unité d’Ecophysiologie et d’Amélioration végétale, Université catholique de Louvain, B-1348 Louvain la Neuve, Belgium
Frederic Boudon Virtual Plants, INRIA, CIRAD, INRA, 34095 Montpellier France
Alain Gaujon Biochimie et Physiologie Moléculaire des Plantes, INRA, CNRS, UM2, 34060 Montpellier, France
Christophe Godin Virtual Plants, INRIA, CIRAD, INRA, 34095 Montpellier France

Keywords: Root architecture, Image processing, Analysis pipeline, High-throughput, OpenAlea

Abstract

FSPM analysis of root systems requires structural data obtained on large data set. This paper describes a processing pipeline developed to extract automatically the architecture of root system from images databases.

Published

2013-06-03

Issue

FSPM2013

Section

1B Reconstructing and observing plant structure

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