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  • Received: Aug. 24, 2020

    Accepted: Nov. 29, 2020

    Posted: Nov. 30, 2020

    Published Online: Jan. 14, 2021

    The Author Email: Jian-Wen Dong (dongjwen@mail.sysu.edu.cn)

    DOI: 10.1364/PRJ.406197

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    Yan Liu, Qing-Yun Yu, Ze-Ming Chen, Hao-Yang Qiu, Rui Chen, Shao-Ji Jiang, Xin-Tao He, Fu-Li Zhao, Jian-Wen Dong. Meta-objective with sub-micrometer resolution for microendoscopes[J]. Photonics Research, 2021, 9(2): 02000106

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Photonics Research, Vol. 9, Issue 2, 02000106 (2021)

Meta-objective with sub-micrometer resolution for microendoscopes

Yan Liu1,†, Qing-Yun Yu1,†, Ze-Ming Chen1,†, Hao-Yang Qiu1, Rui Chen1, Shao-Ji Jiang1, Xin-Tao He1,2, Fu-Li Zhao1,3, and Jian-Wen Dong1,*

Author Affiliations

  • 1School of Physics & State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, China
  • 2e-mail: hext9@mail.sysu.edu.cn
  • 3e-mail: stszfl@mail.sysu.edu.cn

Abstract

Microendoscopes are vital for disease detection and clinical diagnosis. The essential issue for microendoscopes is to achieve minimally invasive and high-resolution observations of soft tissue structures inside deep body cavities. Obviously, the microscope objective is a must with the capabilities of both high lateral resolution in a wide field of view (FOV) and miniaturization in size. Here, we propose a meta-objective, i.e., microscope objective based on cascaded metalenses. The two metalenses, with the optical diameters of 400 μm and 180 μm, respectively, are mounted on both sides of a 500-μm-thick silica film. Sub-micrometer lateral resolution reaches as high as 775 nm in such a naked meta-objective, with monochromatic aberration correction in a 125 μm full FOV and near diffraction limit imaging. Combined with a fiber bundle microscope system, the single cell contour of biological tissue (e.g., water lily leaf) can be clearly observed, compared to the indistinguishable features in other conventional lens-based fiber bundle systems, such as plano–convex and gradient refractive index (GRIN) cases.

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