The LK-1600 RhizoBox High-Throughput Root Physiology and Phenotyping Continuous Measurement System is developed to meet the research needs for studying root growth characteristics and collecting root phenotype images in rhizobox crops. It serves as a dynamic visualization monitoring system for root growth. This root phenotyping system offers high space utilization efficiency and incorporates specialized sensors based on CIS scanner technology, designed specifically for root phenotype image acquisition. It enables distortion-free, high-resolution, and high-quality imaging of crop root phenotypes, allowing continuous tracking and measurement of root system changes throughout the entire plant growth cycle. When combined with professional analysis software, it can measure parameters such as root tip count, root length, radius, surface area, root distribution range, volume, and root biomass.
The system can be optionally equipped with various sensors for weighing, soil environment monitoring, micro-meteorological conditions, and plant physiology. It enables continuous, real-time measurement of soil and plant growth conditions under different environmental factors, facilitating root phenotyping and biomass accumulation. By providing an effective, user-friendly, and non-destructive approach, it allows quantitative comparisons of plant responses to different treatments and supports predictions of plant growth and productivity. Additionally, rhizosphere soil solution can be extracted through specialized porous soil pore water micro-probes installed on the back of the cultivation rhizobox, enabling further investigation into plant-soil interactions. This system is widely applicable in research areas such as biotic and abiotic stress studies, as well as accelerated breeding and plant cultivation research.
Key Features
Technical Parameters
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Camera Type |
Color CIS Line Scan Camera |
Exposure Time |
0.053 - 814 ms |
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Resolution |
600 dpi (Customizable). |
Maximum Line Rate |
63.5 mm/s |
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Sensor |
Linear CMOS sensor with 15 mm focal length lens |
Control System |
Windows OS, LCD touch screen, Chinese interface, control operation, fast operation |
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Light Source |
RGB adjustable brightness and color light source |
Power Supply Type |
DC 24V 5A |
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Imaging Width |
Standard 218×310 mm, Customizable as required |
Power Consumption |
30 W (Scan), 5 W (Standby) |
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Plant Rhizobox Cultivation Unit |
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Rhizobox Material |
Opaque and transparent acrylic panels |
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Dimensions |
The standard is 32×50×3 cm, Customizable according to client requirements Leak-proof design, integrated mechanical structure |
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Rhizobox Support Frame |
Material: Stainless steel angle iron or aluminum profile Design: Roller sliding design Capacity: Each frame holds 5 rhizoboxes / Customizable Feet: Equipped with height-adjustable feet for various environments |
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Host Control System |
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Throughput |
10 seconds per sample |
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Operating Temperature |
-10°C to 60°C |
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Data Format |
JPG and other image formats |
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Resolution |
600 DPI |
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Supported Species |
Wheat, rice, corn, soybean, cotton, rapeseed, and other crops |
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Measurable Parameters |
Number of roots, maximum root length, total length, root angle, surface area, root distribution range, volume, root biomass, etc. |
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Root Analysis Software |
Utilizes U-net convolutional neural network based on image semantic segmentation, enabling one-click batch processing of root images. Automatically generates process images including probability maps, binarized images, classified images, root tip distribution maps, horizontal length maps, and skeleton maps. Produces quantitative results such as total root length, total projected area, total surface area, average diameter, total volume, total root tip count, and parameters classified by diameter. Visualizes probability maps, binarized images, root tip distribution maps, horizontal length maps, and skeleton maps, allowing evaluation of segmentation quality through overlaid color and diameter maps. |
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Standard Configuration
Application Cases
This system was employed for large-scale root phenotyping monitoring throughout the entire growth cycle of a wheat population. The study investigated the dynamic responses of root phenotypes to abiotic stresses, including drought and waterlogging, across all developmental stages.
Manufactured : Eco-mind, China
