Research Progress
  • Researchers Developed Intelligent Optical Tweezers for Particle Assembly
    Researchers from Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, developed artificial potential field-empowered holographic optical tweezers to avoid the inter-particle collisions during optical micromanipulation of multiple ... Recently, a research group led by Prof. YAO Baoli and Dr. XU Xiaohao from Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, developed artificial potential field-empowered holographic optical tweezers (HOTs), which solve...
    Oct 29, 2024
  • Researchers achieve ultra-broadband coherent diffraction imaging
    A research team from Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences proposed an ultra-broadband coherent imaging method to overcome the incompatibility between attosecond pulses with conventional imaging methods. The me... Recently, a research group led by Prof. FU Yuxi and WANG Hushan from Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences developed a snapshot ultra-broadband coherent diffractive imaging (CDI) method for attosecond imaging.The r...
    Oct 23, 2024
  • Hyperbolic Nonlinear Metamaterial Enabled Frequency Conversion
    This work from Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, proposed a novel design of nonlinear metamaterial to enhance the light-matter interactions and breaks through the phase-matching limitations of traditional nonli... Recently, a research group lead by Prof. LIU Hongjun from Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, proposed a novel design of nonlinear metamaterial to enhance the light-matter interactions and breaks through the phas...
    Oct 08, 2024
  • Novel Deep Network for Efficient Video Compressive Imaging
    This work lead by Prof. WAND Quan from Xi’an Institute of Optics and Precision Mechanics proposed a novel method entitled degradation-aware deep unfolding network (DADUN) to solve the obstacles of insufficient representation capacity, unsatisfied accuracy,... Recently, a research group led by Prof. WANG Quan from Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences proposed a novel deep network which overcomes the limitations of reported model-driven methods and data-driven method...
    Sep 29, 2024
  • Multi-prior intelligent microscopy assisted quantitative phase imaging
    A research group led by Prof. YAO Baoli and BAI Chen form Xi'an Institute of Optics and Precision Mechanics, developed a training-free Multi-Prior Physics-enhanced Neural Network (MPPN-PSR), which enables high-throughput, pixel super-resolution and twin-ima... Recently, a research group led by Prof. YAO Baoli and BAI Chen form Xi'an Institute of Optics and Precision Mechanics of the Chinese Academy of Sciences (CAS), developed a training-free Multi-Prior Physics-enhanced Neural Network (MPPN-PSR) for high-through...
    Sep 13, 2024