We have successfully developed a multiphoton-induced hyperspectral microscopy based on a 1064 nm femtosecond excitation source. Nonlinear excitation by the laser localized to the focal point allows efficient non-descanned detection (NDD) while achieving optically sectioned imaging. The use of 1064 nm laser excitation increases the imaging depth while minimizing sample damage. The system combines the advantages of NDD for 3D imagingrich spectral information through confocal hyperspectral imaging, leading to potential applications in the emerging material R&Dbiomedical research.

"We propose a system that use the most popular deep learning technology to analyze panorama videoimage to extract the 3D layout of the panorama image to create a virtual scene. This 3D layout structure allows the system to add 3D model to the original panorama video, making it more editablecapable of synthesize virtual objects to the real world of panorama videos. Our system uses the 3D layout to create low-poly mesh with almost the same quality of the real scenery. This allow users to browse the 3D result on website with low latency."

The core technology includes lightweight UAV, heterogeneous sensor integration, obstacle avoidance, group flight automatic flight control, RTK precision positioning systemfruit tree 3D stereo modeling technology. The UAV can be used for 3D scanningspectral information collection. The information can use for fruit tree growth monitoring, nutrient analysis,fruit quality monitoring.