Combined Phenotyping and Growth Cabinet
The LemnaTec Phenotron is a versatile instrument for a broad range of phenotyping applications in laboratories. It combines the imaging and image processing capabilities of a Lab Scanalyzer with the advantages of a climate-controlled growth cabinet. Thus, prime sample types are such that require environmental control during the phenotyping process, such as seeds or seedlings that are observed in continuous time series. Imaging of samples that do not stay continuously in the cabinet is equally possible. Thus, the Phenotron allows imaging of many different types of biological samples including plants as well as samples in plates:
- Seedlings and small plants in pots or small trays
- samples in microtiter plates or petri-dishes, e.g. seeds, leaf disks, insects
- samples in beakers, e.g. duckweed for ecotoxicology testing
- detached plant parts, e.g. leaves, fruits, roots, tubers
The core compartment of the LemnaTec PhenoTron consists of a climate controlled growth chamber (15°C to 40°C ± 3°C) with tunable LED light sources. Optionally, air humidity and CO2 content can be controlled. It has up to 16 groups of LEDs in different spectral bands between 350 and 850 nm, which can be controlled independently. Top stereo RGB cameras suit most phenotyping applications. Optional cameras include IR, NIR, Multispectral, or chlorophyll fluorescence. The system is operated via a touch-screen interface with intuitive controls.
|Phenotron basic configuration|
|Temperature control||Control of air temperature: 15°C to 40°C ± 3°C|
|RGB camera||Visible light imaging for count, size, morphology and colour of the objects|
|Phenotron optional technical features|
|CO2 control||Control of air CO2 content|
|Air humidity control||Control of air humidity|
|3D imager||Stereo vision for three-dimensional data on plant morphology|
|IR camera||Thermal radiation in the range of 7500 - 13000 nm|
|NIR camera||Reflectance in the water band at 1450 nm|
|Fluorescence||Fluorescence signals of pigments after appropriate excitation|
Top- and side-view version
The Lab Scanalyzer is available as top- and side-view version, too. This version is particularly dedicated for imaging potted plants up to approximately 400 mm height and 400 mm diameter. One top-down viewing camera and one horizontally viewing camera enable taking images of the samples from all sides.
Lab Scanalyzer top- and side-view version
|Imaging||Top view visible light camera OR Top- and side-view visible light cameras
8 Megapixel, 35 mm lens, 29°/21° view angle; other optics on request.
Example for field of view with 35 mm lens:
414 mm x 310 mm at 800 mm distance from lens
258 mm x 194 mm at 500 mm distance from lens
155 mm x 116 mm at 300 mm distance from lens
|Illumination||Top or bottom OR Top and side|
|Dimensions||Benchtop version: 600 mm x 600 mm footprint; 1128,5 mm height
Standalone version: 600 mm x 600 mm footprint; 1750 mm height
Top- and side-view version: 2059 mm x 660 mm footprint, 1290 mm height
|Internal space||Benchtop version: approx. 410 mm x 480 mm sample area; 550 mm distance from camera to bottom; max. dimensions of samples depend on optics.
Standalone version: approx. 410 mm x 480 mm sample area; 1100 mm distance from camera to bottom; max. dimensions of samples depend on optics.
Top- and side-view version: approx. 450 mm x 450 mm; 1000 mm distance from top camera and 1200 mm distance from side camera; max. dimensions of samples depend on optics
|Weight||Benchtop version: 60 kg (approx)
Standalone version: 100 kg (approx)
Top- and side-view version: 190 kg (approx)
|Control||Integrated PC with touch panel (top view versions) OR dedicated PC for top- and side-view version|
|Software||Process control, image acquisition, data export, data processing|
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.
DUCKWEED DETECTION AND COUNTING OF THALLI
Image workflows are used to monitor the growth of duckweed over time