IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38858-y.html
   My bibliography  Save this article

Hybrid achromatic microlenses with high numerical apertures and focusing efficiencies across the visible

Author

Listed:
  • Corey A. Richards

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Christian R. Ocier

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Dajie Xie

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Haibo Gao

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Taylor Robertson

    (Ansys Inc)

  • Lynford L. Goddard

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Rasmus E. Christiansen

    (Technical University of Denmark)

  • David G. Cahill

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

  • Paul V. Braun

    (University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign
    University of Illinois Urbana-Champaign)

Abstract

Compact visible wavelength achromats are essential for miniaturized and lightweight optics. However, fabrication of such achromats has proved to be exceptionally challenging. Here, using subsurface 3D printing inside mesoporous hosts we densely integrate aligned refractive and diffractive elements, forming thin high performance hybrid achromatic imaging micro-optics. Focusing efficiencies of 51–70% are achieved for 15μm thick, 90μm diameter, 0.3 numerical aperture microlenses. Chromatic focal length errors of less than 3% allow these microlenses to form high-quality images under broadband illumination (400–700 nm). Numerical apertures upwards of 0.47 are also achieved at the cost of some focusing efficiency, demonstrating the flexibility of this approach. Furthermore, larger area images are reconstructed from an array of hybrid achromatic microlenses, laying the groundwork for achromatic light-field imagers and displays. The presented approach precisely combines optical components within 3D space to achieve thin lens systems with high focusing efficiencies, high numerical apertures, and low chromatic focusing errors, providing a pathway towards achromatic micro-optical systems.

Suggested Citation

  • Corey A. Richards & Christian R. Ocier & Dajie Xie & Haibo Gao & Taylor Robertson & Lynford L. Goddard & Rasmus E. Christiansen & David G. Cahill & Paul V. Braun, 2023. "Hybrid achromatic microlenses with high numerical apertures and focusing efficiencies across the visible," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38858-y
    DOI: 10.1038/s41467-023-38858-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38858-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38858-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Orad Reshef & Michael P. DelMastro & Katherine K. M. Bearne & Ali H. Alhulaymi & Lambert Giner & Robert W. Boyd & Jeff S. Lundeen, 2021. "An optic to replace space and its application towards ultra-thin imaging systems," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Yujie Wang & Qinmiao Chen & Wenhong Yang & Ziheng Ji & Limin Jin & Xing Ma & Qinghai Song & Alexandra Boltasseva & Jiecai Han & Vladimir M. Shalaev & Shumin Xiao, 2021. "High-efficiency broadband achromatic metalens for near-IR biological imaging window," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    3. Gun-Yeal Lee & Jong-Young Hong & SoonHyoung Hwang & Seokil Moon & Hyeokjung Kang & Sohee Jeon & Hwi Kim & Jun-Ho Jeong & Byoungho Lee, 2018. "Metasurface eyepiece for augmented reality," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    4. Wei Ting Chen & Alexander Y. Zhu & Jared Sisler & Zameer Bharwani & Federico Capasso, 2019. "A broadband achromatic polarization-insensitive metalens consisting of anisotropic nanostructures," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    5. Ethan Tseng & Shane Colburn & James Whitehead & Luocheng Huang & Seung-Hwan Baek & Arka Majumdar & Felix Heide, 2021. "Neural nano-optics for high-quality thin lens imaging," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    6. F. Balli & M. Sultan & Sarah K. Lami & J. T. Hastings, 2020. "A hybrid achromatic metalens," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yueqiang Hu & Yuting Jiang & Yi Zhang & Xing Yang & Xiangnian Ou & Ling Li & Xianghong Kong & Xingsi Liu & Cheng-Wei Qiu & Huigao Duan, 2023. "Asymptotic dispersion engineering for ultra-broadband meta-optics," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Zhaoyi Li & Raphaël Pestourie & Joon-Suh Park & Yao-Wei Huang & Steven G. Johnson & Federico Capasso, 2022. "Inverse design enables large-scale high-performance meta-optics reshaping virtual reality," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Haoran Ren & Jaehyuck Jang & Chenhao Li & Andreas Aigner & Malte Plidschun & Jisoo Kim & Junsuk Rho & Markus A. Schmidt & Stefan A. Maier, 2022. "An achromatic metafiber for focusing and imaging across the entire telecommunication range," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Okan Atalar & Raphaël Laer & Amir H. Safavi-Naeini & Amin Arbabian, 2022. "Longitudinal piezoelectric resonant photoelastic modulator for efficient intensity modulation at megahertz frequencies," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Minkyung Kim & Dasol Lee & Younghwan Yang & Yeseul Kim & Junsuk Rho, 2022. "Reaching the highest efficiency of spin Hall effect of light in the near-infrared using all-dielectric metasurfaces," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    6. Brandon Born & Sung-Hoon Lee & Jung-Hwan Song & Jeong Yub Lee & Woong Ko & Mark L. Brongersma, 2023. "Off-axis metasurfaces for folded flat optics," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    7. Qingbin Fan & Weizhu Xu & Xuemei Hu & Wenqi Zhu & Tao Yue & Cheng Zhang & Feng Yan & Lu Chen & Henri J. Lezec & Yanqing Lu & Amit Agrawal & Ting Xu, 2022. "Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Gang Wu & Mohamed Abid & Mohamed Zerara & Jiung Cho & Miri Choi & Cormac Ó Coileáin & Kuan-Ming Hung & Ching-Ray Chang & Igor V. Shvets & Han-Chun Wu, 2024. "Miniaturized spectrometer with intrinsic long-term image memory," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    9. Julian Karst & Yohan Lee & Moritz Floess & Monika Ubl & Sabine Ludwigs & Mario Hentschel & Harald Giessen, 2022. "Electro-active metaobjective from metalenses-on-demand," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    10. Aleksandr Barulin & Yeseul Kim & Dong Kyo Oh & Jaehyuck Jang & Hyemi Park & Junsuk Rho & Inki Kim, 2024. "Dual-wavelength metalens enables Epi-fluorescence detection from single molecules," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Zhipeng Yu & Huanhao Li & Wannian Zhao & Po-Sheng Huang & Yu-Tsung Lin & Jing Yao & Wenzhao Li & Qi Zhao & Pin Chieh Wu & Bo Li & Patrice Genevet & Qinghua Song & Puxiang Lai, 2024. "High-security learning-based optical encryption assisted by disordered metasurface," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    12. Zi Wang & Lorry Chang & Feifan Wang & Tiantian Li & Tingyi Gu, 2022. "Integrated photonic metasystem for image classifications at telecommunication wavelength," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    13. Huan Lu & Jiwei Zhao & Bin Zheng & Chao Qian & Tong Cai & Erping Li & Hongsheng Chen, 2023. "Eye accommodation-inspired neuro-metasurface focusing," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    14. Yuanlong Zhang & Xiaofei Song & Jiachen Xie & Jing Hu & Jiawei Chen & Xiang Li & Haiyu Zhang & Qiqun Zhou & Lekang Yuan & Chui Kong & Yibing Shen & Jiamin Wu & Lu Fang & Qionghai Dai, 2023. "Large depth-of-field ultra-compact microscope by progressive optimization and deep learning," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38858-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.