3D scene dynamic construction and object localization under unknown environment is the core part of project visual active cognition.
This project mainly focuses on the ground-air cooperative major disaster monitoring and search and rescue platform, carries out research
on information perception and information cognition in dynamic environment, and carries out technical verification in combination with the
major disaster simulation system, laying a foundation for the accurate monitoring and rapid search and rescue application of major disasters.
In response to social services, medical health, public safety, education and entertainment, there is a rapid development of demand for service robots. In accordance with the service areas of various scenarios, promote the application of subdivided industries.
Service robots are the most practical and close to life as robot types. Service
robots include indoor office environment service robots, entertainment
service robots, and home service robots. For the application of 5G, China is
actively deploying. Three cities have announced that they will build a 5G smart city,
and comprehensively promote the construction of smart cities in China based on 5G .The future development and
application prospects are excellent and the potential is huge.The robots can provid health consultation service ,party building sublicity service,navigation service.
Despite centuries of development, surgery is still performed in much the same way as it was hundreds of years ago.The problem with traditional surgery is that it has to
cut off many layers of healthy tissue to reach the target tissue, thus causing serious damage to the healthy tissue.In order to reduce costs and relieve patient trauma,
traditional surgical procedures are being replaced by minimally invasive techniques, such as image-guided surgical systems.Its goal is to enhance and complement physicians'
understanding of the spatial structure of bones by integrating medical images with other information sources, such as tracking devices.
The high accuracy and superresolution performance of the single cell RNA in situ sequencing instrument will
have the profound influence in the research fields including precision medicines and life sciences. Such performance
is supported by the self-developed parametric indirect microscopic imaging (PIMI) technique and it challenges the
standards of the DNA sequencing technologies. In regards with the issues in current single cell in situ sequencing,
namely, the low sequencing efficiency, weak fluorescence signals, low imaging resolution and photo bleaching and so on,
our effort is to push the fast pace, multi-dimension and supperresolution PIMI function forward, in the replacement of
the existing narrow field, therefore low efficiency confocal method, and further looks into models and methods in near
field photon info collection with super-structured optical module, PIMI scattering characteristics deciphering and PIMI
sequencing probe optimization, and that in 3D de-noising relying on coherence and Maxwell inversion. Correspondently, the
project will overcome the difficulties in super-hyper lens design, near field PIMI signature extraction and labeling probe
selection. It will harvest multiple intellectual properties and proof-of-concept super-resolution in situ sequencing instrument.
Such instrument will be applied in real single cell RNA in situ sequencing and gene expressing mapping in helping the growth and
disease alike biological research. The success of this project will break the horizon in innovative instrumentational technology
which will strongly support our nation’s development in bio-medical research and engineering.