A research team led by Academician ZHENG Hairong and Prof. MENG Long from the Shenzhen Institutes of Advanced Technology, collaborating with Prof. TIAN Zhenhua from Virginia Tech, developed oscillating microbubble array–based metamaterials (OMAMs) for efficiently isolating exosomes from undiluted whole blood without labeling or pretreatment procedures.
A research team led by Prof. LIU Chengbo from the Shenzhen Institutes of Advanced Technology developed a 1.7-gram head-mounted microscope. This innovative device can simultaneously capture neural activity and cerebral hemodynamics in freely moving mice, providing a novel tool for exploring neurovascular coupling in the brain and studying neurological disorders.
An international research team has developed the world's first 30-meter resolution dataset to track changes in land productivity, a crucial tool for fighting global land degradation.
A research team led by Prof. SHI Chong from the Aerospace Information Research Institute of the Chinese Academy of Sciences, in collaboration with Japanese scientists, has made a significant advancement in satellite-based air quality monitoring. They have developed AIRTrans, an innovative algorithm that greatly improves the accuracy and efficiency of retrieving key aerosol properties from multispectral satellite observations.
A recent study highlights how China's FengYun-3 (FY-3) meteorological satellites have improved global tracking of land surface temperature throughout daily cycles. Led by Prof. ZHAO Tianjie from the Aerospace Information Research Institute of the Chinese Academy of Sciences, the study utilizes the unique capabilities of the FY-3's Microwave Radiation Imagers (MWRI) to overcome the limitations of traditional satellite-based LST retrieval methods.
A research team, led by Prof. MENG Qingyan from the Aerospace Information Research Institute of the Chinese Academy of Sciences, has successfully developed the Global Spatiotemporal Fusion Model (GLOSTFM), a high-efficiency spatiotemporal fusion model that utilizes multi-source satellite data. By integrating thermal infrared and microwave observations from the Fengyun-3D satellite, GLOSTFM enhances the spatiotemporal resolution of land surface temperature data.
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