The GREENHOUSE SCANALYZER continuously monitors hundreds of plants under controlled conditions without human intervention. With options for both plant-to-sensor and sensor-to-plant automation, LemnaTec is the world’s leading supplier of automated indoor phenotyping systems.
Plants are transported by conveyers through a series of imaging cabinets, each cabinet hosting a different sensor, to capture several hundred data points per plant per run. LemnaTec’s innovative MULTIVIEW system rotates each plant to capture images from all sides, as well as from above. This results in comprehensive quantitative data about the physiological and genetic traits of plants and the parameters that control plant development.
GREENHOUSE SCANALYZER systems are built to suit our customers’ requirements using standardised modules. The available imaging cabinet dimensions are shown below.
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Dedicated Windows PC plus database server
Process control, Image processing, Data analysis
LemnaGrid can create a topological skeleton from a shape. This allows us to split an imaged plant into its larger constituents: leaf/branch and stem.
In this post, we leverage a few skeleton graphs and morphological operations to analyse the leaf insertion angle, which is defined as the angle between the stem and branching leaf blade.
The ‘HSI to grey converter’ is a useful LemnaGrid tool to convert an RGB image into a more human intuitive color appearance system, i.e. the hue-saturation-intensity (HSI) model.
Genetic suppression of plant development and chloroplast biogenesis via the Snowy Cotyledon 3 and Phytochrome B pathways. In: Functional Plant Biology, S. 676. DOI: 10.1071/FP15026. http://www.publish.csiro.au/?paper=FP15026
Phenotypic and metabolic responses to drought and salinity of four contrasting lentil accessions. In: Journal of Experimental Botany, DOI: 10.1093/jxb/erv208. http://jxb.oxfordjournals.org/lookup/doi/10.1093/jxb/erv208
Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time. In: Journal of Experimental Botany, DOI: 10.1093/jxb/eru526. http://jxb.oxfordjournals.org/lookup/doi/10.1093/jxb/eru526
Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis. In: The Plant Cell Online, S. 4636–4655. DOI: 10.1105/tpc.114.129601. http://www.plantcell.org/lookup/doi/10.1105/tpc.114.129601
Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice. In: Rice, S. 16. http://www.biomedcentral.com/content/pdf/s12284-014-0016-3.pdf
AtRD22 and AtUSPL1, Members of the Plant-Specific BURP Domain Family Involved in Arabidopsis thaliana Drought Tolerance. In: PLoS ONE, S. e110065. DOI: 10.1371/journal.pone.0110065. http://dx.plos.org/10.1371/journal.pone.0110065
Physiological responses to Megafol® treatments in tomato plants under drought stress: A phenomic and molecular approach. In: Scientia Horticulturae, S. 185–192. DOI: 10.1016/j.scienta.2014.05.023. http://linkinghub.elsevier.com/retrieve/pii/S0304423814002891
High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging. In: Frontiers in Plant Science, DOI: 10.3389/fpls.2017.01348. http://journal.frontiersin.org/article/10.3389/fpls.2017.01348/full