• Photonics Research
  • Vol. 12, Issue 7, 1513 (2024)
Dan Shen1, Yafeng Li1, Meng Wang1, Yutong Han1..., Bolin Lu1, Hui Gong1,2, Qingming Luo1,2,3,4 and Jing Yuan1,2,*|Show fewer author(s)
Author Affiliations
  • 1Britton Chance Center for Biomedical Photonics and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou 215123, China
  • 3School of Biomedical Engineering, Hainan University, Haikou 570228, China
  • 4e-mail: qluo@hainanu.edu.cn
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    DOI: 10.1364/PRJ.521819 Cite this Article Set citation alerts
    Dan Shen, Yafeng Li, Meng Wang, Yutong Han, Bolin Lu, Hui Gong, Qingming Luo, Jing Yuan, "Line-scanning microscopy with laterally symmetric imaging using simultaneous cross-line illumination," Photonics Res. 12, 1513 (2024) Copy Citation Text show less

    Abstract

    Using an on-the-fly scanning scheme, line confocal microscopy can obtain complex structures of large biological tissues with high throughput. Yet, it suffers from lateral imaging asymmetry and thus introduces the potential deformations of the observation results. Here, we propose cross-line illumination microscopy (cLIM) that acquires the imaging data of two perpendicular directions simultaneously through the same objective lens in a line scanning and utilizes two-direction deconvolution fusion to achieve lateral symmetric imaging performance. Imaging fluorescence beads indicates that cLIM reduces lateral resolution asymmetry from 46.1% to 2.5% and improves lateral resolution by 31.0%, compared with traditional line-scanning imaging. Compared with commercial point-confocal microscopy, the cLIM has a 25.84× increase in imaging speed and 1.93× better background-suppressing ability when imaging an 11,306μm×7783μm×100μm mouse kidney slice. We also show the advantages of the cLIM in observing direction-sensitive texture features by imaging a muscular tissue slice. cLIM offers a novel solution to achieve laterally symmetric line-scanning imaging with simple modifications while maintaining high throughput and accuracy for imaging large-scale samples.
    PS=PD×sin45°,

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    {IX(i,i+1:i+M)=IRawX(i,i:M)IY(i,Ni+1:Ni+M)=IRawY(i,i:M),

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    O=argminO(PSFOI)2,

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    O=argminO[(PSFX*OIX)2+(PSFY*OIY)2],

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    O=argminO[(PSFX*OIX)2+(PSFY*OIY)2+λω|F*O|2],

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    {IMax_I=max(IX,IY)IMin_I=min(IX,IY)IMax_F=FFT1{max[FFT(IX),FFT(IY)]}IProd=IX×IY/C.

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    SBR=S/B,

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    ST=G*[(F2D*I)·(F2D*I)T],

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    Dan Shen, Yafeng Li, Meng Wang, Yutong Han, Bolin Lu, Hui Gong, Qingming Luo, Jing Yuan, "Line-scanning microscopy with laterally symmetric imaging using simultaneous cross-line illumination," Photonics Res. 12, 1513 (2024)
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