High-speed compressive wide-field fluorescence microscopy with an alternant deep denoisers-based image reconstruction algorithm

作者：He, Yilin; Yao, Yunhua; He, Yu; Huang, Zhengqi; Ding, Pengpeng; Qi, Dalong; Wang, Zhiyong; Jia, Tianqing; Sun, Zhenrong; Zhang, Shian^*

来源：Optics and Lasers in Engineering, 2023, 165: 107541.

DOI：10.1016/j.optlaseng.2023.107541

• Wide-field fluorescence microscopy
• High-speed microscopy
• Compressive imaging
• Image reconstruction
• Deep denoisers

As an indispensable tool to observe the microcosmic structures and dynamics, wide-field fluorescence microscopy (WFM) has been widely applied in biological and medical areas, but the low imaging speed hinders its applications in high-speed fluorescent dynamics due to the limited frame rate of the camera. Here, we develop a high-speed compressive wide-field fluorescence microscopy (CWFM) to break the imaging speed limitation of conventional WFM. In our CWFM method, a coded aperture temporal compressive imaging technique is introduced into con-ventional WFM system to accelerate the imaging speed by reconstructing multiple images from every compressed image. An iterative algorithm with alternant deep denoisers of FFDnet and FastDVDnet is designed to reconstruct high-quality sequential images from every compressed image through spatial denoising and temporal constrain-ing. The high-speed imaging ability of CWFM is verified by measuring the movement of fluorescence beads on a slide, and an imaging speed of 2000 Hz is experimentally obtained with an ordinary CMOS camera of 200 Hz, the imaging speed is increased by an order of magnitude. Using our high-speed CWFM system, we successfully ob-serve the hydrodynamics by detecting the flow of fluorescence beads in the water across a corner of microchannel. This technique provides a well-established tool for detecting the high-speed fluid and biological dynamic scene, especially in microflow and cell tracking.

• 单位
  电子科技大学