MSGID: 1:317/3 640c03ec   
   PID: hpt/lnx 1.9.0-cur 2019-01-08   
   TID: hpt/lnx 1.9.0-cur 2019-01-08   
    High-speed super-resolution microscopy via temporal compression    
    New high-speed super-resolution imaging technique resolves a longstanding   
   contradiction between spatial resolution and imaging speed    
      
     Date:   
         March 10, 2023   
     Source:   
         SPIE--International Society for Optics and Photonics   
     Summary:   
         Recently, a research team resolved the contradiction between   
         spatial resolution and imaging speed in optical microscopy. They   
         achieved high- speed super-resolution by developing an effective   
         technique termed temporal compressive super-resolution microscopy   
         (TCSRM). TCSRM merges enhanced temporal compressive microscopy with   
         deep-learning-based super- resolution image reconstruction. Enhanced   
         temporal compressive microscopy improves the imaging speed   
         by reconstructing multiple images from one compressed image,   
         and the deep-learning-based image reconstruction achieves the   
         super-resolution effect without reduction in imaging speed.   
      
         Their iterative image reconstruction algorithm contains   
         motion estimation, merging estimation, scene correction, and   
         super-resolution processing to extract the super-resolution image   
         sequence from compressed and reference measurements.   
      
      
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   FULL STORY   
   ==========================================================================   
   As an indispensable tool for observing the microcosmos, optical   
   microscopy has boosted the development of various fields, including   
   biology, medicine, physics, and materials. However, optical diffraction   
   imposes a spatial resolution restriction on optical microscopy, which   
   hampers exploration of finer structures.   
      
      
   ==========================================================================   
   To overcome the resolution limitation, various super-resolution microscopy   
   techniques based on diverse principles have been proposed. Yet these   
   techniques commonly acquire super-resolution at the expense of reduced   
   imaging speed, so achieving high-speed super-resolution imaging that can   
   detect fast dynamics with fine structures has remained a great challenge.   
      
   Recently, a research team from East China Normal University, Shenzhen   
   University, and Peking University resolved the contradiction between the   
   spatial resolution and imaging speed. As reported in Advanced Photonics,   
   they achieved high-speed super-resolution by developing an effective   
   technique termed temporal compressive super-resolution microscopy   
   (TCSRM). TCSRM merges enhanced temporal compressive microscopy with   
   deep-learning-based super- resolution image reconstruction. Enhanced   
   temporal compressive microscopy improves the imaging speed by   
   reconstructing multiple images from one compressed image, and the   
   deep-learning-based image reconstruction achieves the super-resolution   
   effect without reduction in imaging speed. Their iterative image   
   reconstruction algorithm contains motion estimation, merging estimation,   
   scene correction, and super-resolution processing to extract the super-   
   resolution image sequence from compressed and reference measurements.   
      
   Their studies verified the high-speed super-resolution imaging ability of   
   TCSRM in theory and experiment. To demonstrate the imaging capability of   
   TCSRM, they imaged flowing fluorescent beads in a microchannel, achieving   
   a remarkable frame rate of 1200 frames per second and spatial resolution   
   of 100 nm.   
      
   According to corresponding author Shian Zhang, Professor and Deputy   
   Director of the State Key Laboratory of Precision Spectroscopy at East   
   China Normal University, "This work provides a powerful tool for the   
   observation of high- speed dynamics of fine structures, especially   
   in hydromechanics and biomedical fields, such as microflow velocity   
   measurement, organelle interactions, intracellular transports and neural   
   dynamics." Zhang adds, "The framework of TCSRM can also offer guidance   
   for achieving higher imaging speed and spatial resolution in holography,   
   coherent diffraction imaging, and fringe projection profilometry."   
       * RELATED_TOPICS   
             o Matter_&_Energy   
                   # Optics # Medical_Technology # Ultrasound # Biochemistry   
                   # Spintronics # Graphene # Energy_and_Resources #   
                   Albert_Einstein   
       * RELATED_TERMS   
             o Confocal_laser_scanning_microscopy o   
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             Electron_microscope o Positron_emission_tomography o CAT_scan   
             o Radiography o Speed_of_sound   
      
   ==========================================================================   
   Story Source: Materials provided by   
   SPIE--International_Society_for_Optics_and_Photonics.   
      
   Note: Content may be edited for style and length.   
      
      
   ==========================================================================   
   Journal Reference:   
      1. Yilin He, Yunhua Yao, Dalong Qi, Yu He, Zhengqi Huang, Pengpeng   
      Ding,   
         Chengzhi Jin, Chonglei Zhang, Lianzhong Deng, Kebin Shi,   
         Zhenrong Sun, Xiaocong Yuan, Shian Zhang. Temporal compressive   
         super-resolution microscopy at frame rate of 1200 frames per second   
         and spatial resolution of 100 nm. Advanced Photonics, 2023; 5 (02)   
         DOI: 10.1117/1.AP.5.2.026003   
   ==========================================================================   
      
   Link to news story:   
   https://www.sciencedaily.com/releases/2023/03/230310123927.htm   
      
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