Recently, our engineers have completed the installation and commissioning of the AZR-300 root growth dynamic monitoring system at Sichuan Academy of Agricultural Sciences. The instrument is installed at the comprehensive experimental base of the institute and is used to monitor the dynamic changes in crop root growth.

The AZR-300 composite root growth dynamic monitoring system can be used to study the dynamics of roots, including growth, development, death, lifespan, quantity dynamics, nutrient absorption, etc. It can add a fluorescence light source module, and near-infrared light source can help reflect the degree of stress on roots. Customized narrow wavelength excitation light sources can be used to measure the fluorescence signals emitted by expressed special gene proteins (such as GFP, CFP).

Research on soil microbial diversity, population composition and their interactions, community spatial distribution, etc., for plant root detection in natural conditions and systematic study of soil microbial species diversity, population composition and their interactions, community spatial distribution, etc.

At present, there are two measurement methods for micro root window technology: camera and scanning. Camera technology has high resolution, but there is a drawback of taking small images at once. Scanning technology obtains large image areas at once, but the resolution is slightly insufficient compared to camera technology.

The AZR-300 composite root growth dynamic monitoring system integrates camera and scanning technology, combining their respective advantages to achieve arbitrary switching between camera and scanning methods in micro root canals, thus enabling fast and clear acquisition of overall and local images of plant roots.

The system is equipped with a 4800dpi high-definition camera and 10um ultra-high resolution, which can observe root hairs and hyphae in situ without damage, and can also clearly observe changes in soil porosity.

The combination of professional image capture software and calibration handle can achieve fast image stitching, ensuring seamless connection between adjacent images. The regular naming of images facilitates batch analysis using image analysis software in the later stage. It is possible to manually depict the growth trajectory of the root system and directly obtain the morphological parameters of the root system.