ARIA


ComPM Lab @ Iowa State University

Overview

Measured variables length, convex-hull, shape, count
Operating system matlab, windows, mac
Licence freeware
Automation level automated
Plant requirements any, an
Export formats Excell
Other information Seedling plants

Scientific article(s)

Analysis of Maize (Zea mays L.) Seedling Roots with the High-Throughput Image Analysis Tool ARIA (Automatic Root Image Analysis)
Jordon Pace, Nigel Lee, Hsiang Sing Naik, Baskar Ganapathysubramanian, Thomas Lübberstedt
PLoS ONE, 2017 View paper

Description

The root system is crucial for plant establishment as well as water and nutrient uptake. There is substantial genetic and phenotypic variation for root architecture, which gives opportunity for selection. Root traits, however, have not been used as selection criterion mainly due to the difficulty in measuring them, as well as their quantitative mode of inheritance. Seedling root traits offer an opportunity to study multiple individuals and to enable repeated measurements per year as compared to adult root phenotyping. We developed a new software framework to capture various traits from a single image of seedling roots. This framework is based on the mathematical notion of converting images of roots into an equivalent graph. This allows automated querying of multiple traits simply as graph operations. This framework is furthermore extendable to 3D tomography image data


Source: ARIA Website

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