Fully automatic and high-throughput 3D imaging of large numbers of plants, from seedlings to adult plants
A powerful assistant to plant phenotype and physiological research
Powerful tools for genetic breeding, mutant strain screening, and phenotypic screening
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Small version Only 10 pots of plants can be automatically transferred, and the flower pot needs to be replaced manually | Large custom version (greenhouse version) System that can automatically transmit 1200 pot plants |
Fully automatic high-throughput plant 3D imaging system - Scanalyzer 3D is a system that can fully automatic and high-throughput imaging of large numbers of plants (from seedlings to mature plants). You can choose to configure visible light (VIS) imaging and near-termOne or more of infrared (NIR) imaging, infrared (IR) imaging, PSII fluorescence imaging, hyperspectral imaging, and root near-infrared imaging, each imaging module includes two cameras on the top and side, combined with the sample rotation device,The plants can be subjected to 3D morphological analysis.If you are small plants (below 15 cm), you can also choose to use laser scanning 3D imaging.Each imaging module has a separate imaging area ("darkroom") and the imaging analysis is performed in turn.
One or more of VIS, NIR, IR, root NIR imaging, PSII fluorescence imaging, hyperspectral imaging, each imaging has an independent camera area ("darkroom"), the top and sides of each "darkroom"Install one camera each (shoot top and side imaging).The base of the flower pot has a rotating device that can rotate 360 degrees, so that imaging information on the four sides of the plant can be obtained.Combined with top imaging, complete plant 3D imaging information can be obtained. For small plants below 15 cm, laser scanning 3D imaging can be selected to obtain detailed three-dimensional morphological information.
The system has an automatic transmission device, and all flower pots have electronic tags, and all shooting data are archived according to electronic tags.A conveyor device that can transport 10, 105, 300, 456, 1200 dishes or more pots can be optionally transferred. The weight of the pot and plant can be 5 kg or 10 kg, and it needs to be customized even more.
In greenhouse systems, automatic watering and weighing devices can be added. The software controls different watering volumes for different numbered flower pots and weighs the flower pots every day.
In a greenhouse system, combined with an automatic watering device, nutrients can be replenished while watering.
In greenhouse systems, whether pesticides are sprayed can be used to detect the resistance or sensitivity of crops to pesticides based on electronic tags.
In a greenhouse system, as long as a multi-stage T-Junction (T-junction) is added to the conveyor device, large-scale plants can be sorted according to the imaging results. The threshold parameters used for sorting can be set by the user and the sorting stages are sorted.Depends on the number of T-Junctions.
Because the amount of data is very large, this system must use a server to store data.
The software analysis function is very powerful. The data of the entire life history can be recalled through the plant number (electronic tag), time dynamic analysis, animation demonstration of the taken photos, and graphically analyze the time dynamic data of the same plant.Complex statistical and graphical analysis of data from different plants.
Through dedicated remote server management software, the operation status of this system can be monitored, changed measurement procedures or analyzed measurement data in a remote location. |
LemnaTec 3D system video |
hostNeed Function
Fully automatic and high-throughput visible light imaging, near-infrared imaging, root near-infrared imaging, hyperspectral imaging, infrared imaging, fluorescence imaging (including whole plant GFP imaging) and/or laser scanning 3D imaging (each setThe system can choose one or more)
Visible light imaging can measure more than 50 parameters such as plant structure, width, density, symmetry, leaf length, leaf width, leaf area, leaf angle, leaf color, leaf lesions, seed color, seed color area, etc., etc., more than 50 parameters, including the structure, width, leaf color, leaf lesions, seed color, etc.
Near infrared imaging can analyze the water distribution state of plants, hydraulic research, stress physiology research, etc.
Analysis of moisture distribution in plant roots and soil columns through near-infrared imaging of root systems
Through infrared imaging, plant drought stress research and transpiration research can be carried out.
Fluorescence imaging can analyze the physiological state of plants
Hyperspectral imaging can measure the amount and naturalization index of some specific substances
Application areas
Plant physiology, agricultural science, plant pathology, genetic breeding, mutant plant screening, plant morphology modeling, seed physiology, seed pathology, plant stress physiology, plant hydrodynamics and other research fields.
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| Small system that can automatically transmit 10 pots of plants | T-Junction sorting |
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| Automatic irrigation device | Side, side rotation 90 degrees and top imaging |
Application example
Plant color classification
The color of plants is one of the key indicators that reflect the health status of plants, and the human eye has a low sensitivity to color and has large visual errors.Using the Scanalyzer system, the obtained color information can be sharpened through software based on taking visible light photos of plants, so that the color differences that were originally difficult to distinguish between the naked eye can be significantly differentiated.
Plant skeleton/structure analysis
Plant skeleton and architectural information are very typical plant apparent information and are an important research content in agricultural informatics.For hybrid breeding, the Scanalyzer system facilitates rapid phenotypic screening and can also be used to understand the entire life history and the skeleton/structural changes after stress.
Plant morphology analysis
After imaging, the plants can be analyzed in detail in three-dimensional morphology through software developed by LemnaTec's professional software engineer team.For each picture taken, multiple morphological parameters are obtained.
Estimate biomass
Through top imaging and multiple side imaging, information on the three axes of plant X, Y, and Z can be obtained, and the biomass of the plant can be estimated based on the leaf area, stem length, stem width, leaf length, color, etc. in each direction.Experiments have shown that this estimated biomass has a very good linear relationship with the actual biomass.
Analysis of moisture utilization of plants and soil using near-infrared (NIR) imaging
Near-infrared imaging can intuitively reflect the moisture content of different parts of the plant. After software processing and adding colors representing different moisture content, it can be very intuitively seen that the moisture content changes in different parts of the plant under different treatments.If the plant is growing in a special soil column, the changes in the moisture content of the plant root system and soil can also be quantitatively analyzed.
Note: The soil column tube designed by LemnaTec is made of transparent polypropylene plastic material, with natural soil in it, 50 cm high, 5, 8 or 10 cm in diameter, 1.5 3.0 5.0 kg of soil, and drainage holes at the bottom.During culture, opaque PVC tubes are placed on the outer part of the soil column to shade, place moss and soil algae to breed, and remove the light shielding tube during measurement.
Analysis of the changes in moisture content during wheat drying using near-infrared (NIR) imaging
This example is that under high temperature treatment, the time kinetic changes in plant moisture content can be visually reflected by NIR imaging and quantitatively analyzed.
Detection of plant temperature differences using infrared (IR) imaging
Infrared imaging, also known as thermal imaging, is used to detect temperature changes in plants.Since plant temperature is closely related to plant transpiration and water content, infrared imaging is often used in fields such as drought stress research and population transpiration.
Infrared imaging reflects the closure of wheat stomata
When illuminated, the pores open and the leaves undergo transpiration.After closing the light for 4 min, a significant increase in the blade temperature was detected, indicating that the pores began to close.The Scanalyzer 3D system can detect the state of the pore very sensitively.
Static root density analysis
The Scanalyzer 3D system can take visible light photos of the roots of plants growing in the soil column, and the software automatically analyzes the roots of the surface of the soil column.Since the soil column transporter comes with a program-controlled rotating table under the transporter, the automatic rotation angle of 90 degrees can be controlled by software to complete the imaging of 4 different sides, obtaining more complete root system information.
Analysis of dynamic growth of root system
The Scanalyzer 3D system can take full automatic and high-throughput photos of plant roots. Combined with electronic tags, it can perform time dynamic analysis of specific numbered plant root data.From the results in the figure below, it can be seen that from days 35-100, the roots grew the fastest, with a large number of roots growing down from the surface, and from days 35-60, excessive watering caused many roots to die at the bottom.
Identification of non-GMO plants
After spraying pesticides, plants that have not been transferred to the anti-pesticide gene can be identified by color.
Examples of morphological applications of plant individuals and groups
The Scanalyzer 3D imaging system can obtain a large number of morphological parameters and targeted parameters for different materials.Here are a few examples:
plantDynamic monitoring of flowering process
Since the color of flowers of most plants is different from stems and leaves, the high-throughput, fully automatic, electronic tagged characteristics of the Scanalyzer 3D imaging system can automatically monitor whether the plant is blooming, flowering time, number of flowers, and flower development stage by utilizing the high-throughput, fully automatic, and electronic tagged characteristics of the Scanalyzer 3D imaging system., spend time and other information.
Origin: Germany