Phytotyping4D
Federico Apelt & David Breuer @ Max Planck Institute of Molecular Plant Physiology
Overview
| Measured variables | angle, surface, shape, count |
|---|---|
| Operating system | windows, mac, linux |
| Licence | open-source, freeware |
| Automation level | automated |
| Plant requirements | Arabidopsis |
| Export formats | txt, svg |
| Other information | parameters may be adjusted for analysis of other rosette plants |
Scientific article(s)
Phytotyping4D: a light-field imaging system for non-invasive and accurate monitoring of spatio-temporal plant growthFederico Apelt, David Breuer, Zoran Nikoloski, Mark Stitt, Friedrich KraglerThe Plant Journal, 2015 View paper
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Description
Phytotyping4D is a non-invasive and accurate imaging system that combines a 3D light-field camera (Raytrix GmbH) with an automated pipeline, which provides validated measurements of growth, movement and other morphological features at the rosette and single-leaf level. In a case study in which we investigated the link between starch and growth, we demonstrated that Phytotyping4D is a key step towards bridging the gap between phenotypic observations and the rich genetic and metabolic knowledge. Our software was developed and optimized for grey-scale 3D light-field images of Arabidopsis thaliana, and the parameters for rosette and leaf segmentation, leaf tracking and automated leaf number classification may be adapted to other plant species.