Applications

RESEARCH & QUALITY CONTROL

LemnaTec systems are used across the world in hundreds of different research and quality control applications. LemnaGrid, one of the modules in the LEMNATEC-OS software suite, allows you to isolate and extract selected features from digital images.

Below, there are tutorials and technical papers describing methods and results from previous experiments. The LemnaTec Academy offers workshops and training courses to support a wide range of phenotyping disciplines, as well as consultancy packages to assist with specific projects. For more information contact us now at academy@lemnatec.com

Colour classification of Duckweed

Image analysis systems are far superior to the human eye for quantitative classification of colours. The colour information of every pixel is interpreted as ecotoxicologically relevant information. We discuss four different ways to classify and quantify the colour of duckweed.

Morphological parameters of Arabidopsis

Automated quantitative phenotyping of complete plants provides an almost unlimited number of morphological parameters that are easily correlated with biological effects over time. Similar approaches can be adopted for a wide range of other biological applications.

Partitioning turf images

Region-based feature extraction focuses on the local distribution of low level features such as colour and texture.

Arabidopsis Phenotyping

When assessing Arabidopsis plants manually, the visual single point assessment is commonly used. Imaging technology provides automated, fast and reproducible assessment of Arabidopsis plant growth and identification of small but significant differences.

Morphological parameters of complete plants

In addition to leaf area, a set of morphological parameters help to classify the phenotype. Specific morphological traits may be developed from the images for particular biological traits.

Processing Multiple Images with Batch Maker

In the fifth part of our series we will build another grid application to measure leaf angle in corn but use another grid device. Specifically we are going to estimate the leaf insertion angle at different local points along the leaf skeleton line and thereby use Batch Maker to simplify the multiplication of processing streams.

Corn Leaf Segmenter

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.

Image Processing with ImageMagick, ImageJ & R/EBImage

The functionality of LemnaGrid can be extended interacting with external image processing applications. In this short post I am going to show how three different external programs (ImageMagick, ImageJ, R/EBImage) can be embedded into the LemnaGrid workflow to perform fast fourier transform

Graph To Object Converter

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.

Application Of Fixed Data

If a simple rectangle is not suitable to enclose a region of interest (ROI) or to split the image for specialised image segmentations, here is a quick guide on how to solve this problem in LemnaGrid.