A recent study published in Light: Science & Applications at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, have successfully developed an anisotropic schottky photodetector (ASPD) system. This innovative system showcases advancements in polarized detection technology, utilizing two-dimensional (2D) materials to achieve unprecedented levels of photosensitivity and imaging quality.
Revolutionary advancements in bacterial strain identification have been achieved through the innovative application of Raman spectroscopy. A recent study published in Talanta at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, have employed advanced analytical techniques to enhance the accuracy and efficiency of identifying pathogenic bacteria, holding significant implications for various fields including healthcare, food safety, and environmental monitoring.
Changchun Institute of Optics, Fine Mechanics, and Physics, Chinese Academy of Sciences, has made strides in enhancing the performance of narrow-linewidth semiconductor lasers, as recently published in Heliyon. These advancements address longstanding challenges in reducing noise for high-precision applications, including optical communications and sensing technologies.
Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, and the University of Glasgow have developed a groundbreaking platform for single-cell analysis, published in Talanta. This study introduces a microwell-assembled aluminum substrate that significantly advances Raman spectroscopy for cancer cell profiling.
A recent study published in Spectrochimica Acta at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, has leveraged a Siamese network to tackle the issue of inter-instrument variation in Raman spectroscopy.
A recent study published in Sensors at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, have proposed innovative solutions that integrates chaotic mapping into the super-resolution (SR) image reconstruction process, significantly enhancing image quality across various fields.
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