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LemnaGrid specifications


Unique identifier OMICS_35344
Name LemnaGrid
Stability Stable
Maintained Yes

Publication for LemnaGrid

LemnaGrid citations


Leaf GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat

Plant Methods
PMCID: 5740932
PMID: 29299051
DOI: 10.1186/s13007-017-0266-3

[…] ch leaf automatically.GROWSCREEN [] quantifies dynamic seedling growth under altered light conditions.GROWSCREEN FLUORO [] measures leaf growth and chlorophyll fluorescence to detect stress tolerance.LemnaGrid [] integrates image analysis and rosette area modelling to assess genotype effects for Arabidopsis.Leaf Image Analysis Interface (LIMANI) [] segments and computes venation patterns of Arabid […]


Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques

Sci Rep
PMCID: 5557858
PMID: 28811508
DOI: 10.1038/s41598-017-08235-z

[…] imaging system were organized into LemnaBase which is the central database interface for the phenotyping system, and processed through an analysis pipeline specifically adjusted for pakchoi by using LemnaGrid which is an image analysis component of the phenotyping system. Image processing procedure in LemnaGrid consisted of four main steps shown as the flowchart in Supplementary Fig. : (1) image […]


Exploring genetic variation for salinity tolerance in chickpea using image based phenotyping

Sci Rep
PMCID: 5430978
PMID: 28465574
DOI: 10.1038/s41598-017-01211-7

[…] ing. Plants were imaged for a further 22 days after exposure to salt to quantify growth under saline and non-saline conditions. A total of 28,405 visible light (RGB) images obtained were processed in LemnaGrid (LemnaTec) and plant pixels used to compute projected shoot area. Cubic smoothing splines were fitted for each cart to the projected shoot areas for the observed days after sowing using the […]


Genetic Variation of Morphological Traits and Transpiration in an Apple Core Collection under Well Watered Conditions: Towards the Identification of Morphotypes with High Water Use Efficiency

PLoS One
PMCID: 4699897
PMID: 26717192
DOI: 10.1371/journal.pone.0145540

[…] ec, Wuüerselen, Germany), one image from the side of each plant at two different rotations angles (0° and 90° side views) and a top view (). For each picture, three parameters were computed using the LemnaGrid software (LemnaTec, Wuüerselen, Germany): Object Sum Area (OSA), which corresponds to the number of all pixels that have been identified as part of the plant; Object Extend (OE), that repres […]


Comparison of Leaf Sheath Transcriptome Profiles with Physiological Traits of Bread Wheat Cultivars under Salinity Stress

PLoS One
PMCID: 4526543
PMID: 26244554
DOI: 10.1371/journal.pone.0133322

[…] n, Germany) at The Plant Accelerator was used for daily image acquisition []. Two red-green-blue (RGB) images were captured from the side at a 90° rotation to each other and one RGB image from above. LemnaGrid software (LemnaTec GmbH, Aachen, Germany) was used for image processing to determine the projected shoot area—the sum of pixels identified as being part of the plant in each image [, ].To me […]


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

J Exp Bot
PMCID: 4378625
PMID: 25697789
DOI: 10.1093/jxb/eru526
call_split See protocol

[…] lour images were recorded from the top of the plant (top view) and from the side of the plant at two different rotations (0 °, side view 1; 90°, side view 2). The recorded images were processed using LemnaGrid software (LemnaTec GmbH). In brief, a region of interest was defined to comprise the entire plant but cut out the visible parts of the imaging hardware (e.g. lifter/turner). Plants were sepa […]


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