• Advanced Photonics
  • Vol. 3, Issue 4, 044001 (2021)
Jongchan Park1, David J. Brady2, Guoan Zheng3、4, Lei Tian5, and Liang Gao1、*
Author Affiliations
  • 1University of California, Department of Bioengineering, Los Angeles, California, United States
  • 2University of Arizona, James C. Wyant College of Optical Sciences, Tucson, Arizona, United States
  • 3University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
  • 4University of Connecticut, Department of Electrical and Computer Engineering, Storrs, Connecticut, United States
  • 5Boston University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
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    DOI: 10.1117/1.AP.3.4.044001 Cite this Article Set citation alerts
    Jongchan Park, David J. Brady, Guoan Zheng, Lei Tian, Liang Gao. Review of bio-optical imaging systems with a high space-bandwidth product[J]. Advanced Photonics, 2021, 3(4): 044001 Copy Citation Text show less

    Abstract

    Optical imaging has served as a primary method to collect information about biosystems across scales—from functionalities of tissues to morphological structures of cells and even at biomolecular levels. However, to adequately characterize a complex biosystem, an imaging system with a number of resolvable points, referred to as a space-bandwidth product (SBP), in excess of one billion is typically needed. Since a gigapixel-scale far exceeds the capacity of current optical imagers, compromises must be made to obtain either a low spatial resolution or a narrow field-of-view (FOV). The problem originates from constituent refractive optics—the larger the aperture, the more challenging the correction of lens aberrations. Therefore, it is impractical for a conventional optical imaging system to achieve an SBP over hundreds of millions. To address this unmet need, a variety of high-SBP imagers have emerged over the past decade, enabling an unprecedented resolution and FOV beyond the limit of conventional optics. We provide a comprehensive survey of high-SBP imaging techniques, exploring their underlying principles and applications in bioimaging.
    SBP=π(FN2Mag)2·π(2λ·NA)2  =π2FN2λ2(NA2Mag2).(1)

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    N=SBP·log2(1+SNR).(2)

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    g(x,y)=p(x,y)*f(x,y)+w(x,  y),(3)

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    g^(kx,ky)=p^(kx,ky)f^(kx,ky)+w^(kx,ky),(4)

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    f^(kx,ky)=g^(kx,ky)/p^(kx,ky)w^(kx,ky)/p^(kx,ky).(5)

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    p^coh(kx,ky)={exp[iΦ(kx,ky)],|kx2+ky2|k02·NA20,elsewhere..(6)

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    picoh(x,y)=|pcoh(x,y)|2.(7)

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    p^icoh(kx,ky)=p^coh(kx+kx/2,ky+ky/2)p^coh*(kxkx/2,kyky/2)dkxdkyp^coh(kx,ky)p^coh*(kx,ky)dkxdky.(8)

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    Jongchan Park, David J. Brady, Guoan Zheng, Lei Tian, Liang Gao. Review of bio-optical imaging systems with a high space-bandwidth product[J]. Advanced Photonics, 2021, 3(4): 044001
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