Root System Optical High-Throughput Screening Platform

Root System Optical High-Throughput Screening Platform integrates optoelectronic technology, automation control technology, and computer graphic processing technology to realize fully automatic, non-destructive, high-throughput, and accurate extraction of aboveground and root phenotypic parameters of potted crop plants. The Root System Optical High-Throughput Screening Platform has a wide range of applications in botany, agricultural science, and ecology. It can help researchers better understand the growth and development mechanisms of plant root systems, assess the response of plants to environmental stresses, and screen and optimize the morphological and functional characteristics of plant root systems, thus providing a scientific basis for plant breeding and agricultural production.

About Root System Optical High-Throughput Screening Platform

The Root System Optical High-Throughput Screening Platform is a high-throughput screening system for studying plant roots. The platform combines root image analysis and computer vision technologies to efficiently acquire, analyze, and quantify a wide range of morphological and functional characteristics of plant root systems. The Root System Optical High-Throughput Detection Platform utilizes high-resolution root system image data combined with automated analysis algorithms to acquire many root system parameters quickly and accurately, including root length, root diameter, root bifurcation, and root morphology.

Platform Components

• Root acquisition system: Non-invasive or semi-invasive image acquisition of plant root system using high-resolution camera equipment or laser scanner.
• Image processing and analysis software: Process and analyze the acquired root system images through computer vision and image processing algorithms to extract morphological and structural parameters of the root system.
• Database and management system: Store, manage, and query many root images and related data and provide data visualization and statistical analysis functions.
• Data analysis and mining tools: Analyze and mine the root system data to discover the growth pattern and functional characteristics of the plant root system by using methods such as statistics and machine learning.

Root System Optical High-throughput Detection Content

• Simultaneous measurement of trait parameters of above-ground and below-ground parts of the plant
• Can be integrated with the transmission mechanism to realize high-throughput measurement
• 360° tomography of the plant
• Suitable for rice, wheat, soybeans, and other crops
• Above- and below-ground traits are automatically calculated and extracted at the end of the scan.

Advantages of the Root System Optical High-Throughput Screening Platform

• Efficient

Adopting automated image acquisition and processing technology, it can quickly acquire many root system image data and realize high-speed processing and analysis through computer algorithms.

• Non-Invasive

The Root System Optical High-Throughput Screening Platform utilizes non-invasive or semi-invasive image acquisition methods that do not require destructive sampling or processing of plants.

• Highly Accurate

Through high-resolution image acquisition equipment and precise image processing algorithms, the Root System Optical High-Throughput Inspection Platform can accurately extract morphological and structural parameters of the root system, including root length, root diameter, root bifurcation, and so on.

• Multi-parameter Analysis

The platform supports multi-parameter root analysis, which can obtain the basic morphological parameters of the root system and further analyze the root system's complex features, such as root type and architecture.

• Big Data Processing and Mining

The optical high-throughput detection platform for root systems can process many root system image data and combine statistical and machine learning methods for data mining and analysis.

If you are interested in our platform, please do not hesitate to contact us anytime.