Review of bio-optical imaging systems with a high space-bandwidth product

被引:1
|
作者
Park, Jongchan [1 ]
Brady, David J. [2 ]
Zheng, Guoan [3 ,4 ]
Tian, Lei [5 ]
Gao, Liang [1 ]
机构
[1] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90024 USA
[2] Univ Arizona, James C Wyant Coll Opt Sci, Tucson, AZ USA
[3] Univ Connecticut, Dept Biomed Engn, Storrs, CT USA
[4] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT USA
[5] Boston Univ, Dept Elect & Comp Engn, Boston, MA USA
来源
ADVANCED PHOTONICS | 2021年 / 3卷 / 04期
基金
美国国家卫生研究院; 新加坡国家研究基金会; 美国国家科学基金会;
关键词
space-bandwidth product; bioimaging; gigapixel imaging; high resolution; wide field of view; STRUCTURED-ILLUMINATION MICROSCOPY; FIELD-OF-VIEW; OPTICAL COHERENCE TOMOGRAPHY; COMPUTATIONAL ADAPTIVE OPTICS; HIGH-RESOLUTION; WIDE-FIELD; FOURIER PTYCHOGRAPHY; PHASE RETRIEVAL; HIGH-THROUGHPUT; FLUORESCENCE MICROSCOPY;
D O I
10.1117/1.AP.3.4.044001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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.
引用
收藏
页数:18
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