• 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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    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.
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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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    Category: Reviews
    Received: Jan. 26, 2021
    Accepted: May. 27, 2021
    Published Online: Jun. 29, 2021
    The Author Email: Gao Liang (gaol@ucla.edu)