A research team led by Dr. CHEN Chilai from the Hefei Institutes of Physical Science of Chinese Academy of Sciences, developed a new model for the shape of spectral peaks. This achievement completes a systematic foundation for FAIMS detection theory, which is crucial for improving the accuracy of spectral analysis, assessing errors, and optimizing instrument design and parameters.
A research group led by Prof. SUN Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a method for accurately mapping paddy rice cultivation in Anhui Province. This method combined annual phenological features with Sentinel-1/2 imagery, leveraging satellite remote sensing and machine learning to enhance agricultural monitoring.
Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively tackles the long-standing issue of cross-interference in gas absorption spectra.
A research team led by Professor GAO Xiaoming from the Hefei Institutes of Physical Science, Chinese Academy of Sciences, developed a new laser device, near-infrared laser heterodyne radiometer (LHR), that could greatly improve how we measure water vapor in the atmosphere. It successfully reduced unwanted noise during measurements, making it more accurate.
Recently, a research group led by Prof. HONG Bo from the Hefei Institutes of Physical Science, Chinese Academy of Sciences, identified a novel prognostic biomarker that could help predict chemotherapy resistance in small cell lung cancer (SCLC) by multi-omics integrative analysis.