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Single-shot on-chip spectral sensors based on photonic crystal slabs

Author

Listed:
  • Zhu Wang

    (University of Wisconsin–Madison)

  • Soongyu Yi

    (University of Wisconsin–Madison)

  • Ang Chen

    (University of Wisconsin–Madison)

  • Ming Zhou

    (University of Wisconsin–Madison)

  • Ting Shan Luk

    (Sandia National Laboratories)

  • Anthony James

    (Sandia National Laboratories)

  • John Nogan

    (Sandia National Laboratories)

  • Willard Ross

    (Sandia National Laboratories)

  • Graham Joe

    (University of Wisconsin–Madison)

  • Alireza Shahsafi

    (University of Wisconsin–Madison)

  • Ken Xingze Wang

    (Huazhong University of Science and Technology)

  • Mikhail A. Kats

    (University of Wisconsin–Madison)

  • Zongfu Yu

    (University of Wisconsin–Madison)

Abstract

Miniaturized spectrometers have significant potential for portable applications such as consumer electronics, health care, and manufacturing. These applications demand low cost and high spectral resolution, and are best enabled by single-shot free-space-coupled spectrometers that also have sufficient spatial resolution. Here, we demonstrate an on-chip spectrometer that can satisfy all of these requirements. Our device uses arrays of photodetectors, each of which has a unique responsivity with rich spectral features. These responsivities are created by complex optical interference in photonic-crystal slabs positioned immediately on top of the photodetector pixels. The spectrometer is completely complementary metal–oxide–semiconductor (CMOS) compatible and can be mass produced at low cost.

Suggested Citation

  • Zhu Wang & Soongyu Yi & Ang Chen & Ming Zhou & Ting Shan Luk & Anthony James & John Nogan & Willard Ross & Graham Joe & Alireza Shahsafi & Ken Xingze Wang & Mikhail A. Kats & Zongfu Yu, 2019. "Single-shot on-chip spectral sensors based on photonic crystal slabs," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08994-5
    DOI: 10.1038/s41467-019-08994-5
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    Cited by:

    1. Wenjie Deng & Zilong Zheng & Jingzhen Li & Rongkun Zhou & Xiaoqing Chen & Dehui Zhang & Yue Lu & Chongwu Wang & Congya You & Songyu Li & Ling Sun & Yi Wu & Xuhong Li & Boxing An & Zheng Liu & Qi jie W, 2022. "Electrically tunable two-dimensional heterojunctions for miniaturized near-infrared spectrometers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Yibo Xu & Liyang Lu & Vishwanath Saragadam & Kevin F. Kelly, 2024. "A compressive hyperspectral video imaging system using a single-pixel detector," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Zicheng Shen & Feng Zhao & Chunqi Jin & Shuai Wang & Liangcai Cao & Yuanmu Yang, 2023. "Monocular metasurface camera for passive single-shot 4D imaging," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Dylan Tua & Ruiying Liu & Wenhong Yang & Lyu Zhou & Haomin Song & Leslie Ying & Qiaoqiang Gan, 2023. "Imaging-based intelligent spectrometer on a plasmonic rainbow chip," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. 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.
    6. Yangxi Zhang & Sheng Zhang & Hao Wu & Jinhui Wang & Guang Lin & A. Ping Zhang, 2024. "Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Jingyi Wang & Beibei Pan & Zi Wang & Jiakai Zhang & Zhiqi Zhou & Lu Yao & Yanan Wu & Wuwei Ren & Jianyu Wang & Haiming Ji & Jingyi Yu & Baile Chen, 2024. "Single-pixel p-graded-n junction spectrometers," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    8. 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.
    9. Soongyu Yi & Jin Xiang & Ming Zhou & Zhicheng Wu & Lan Yang & Zongfu Yu, 2021. "Angle-based wavefront sensing enabled by the near fields of flat optics," Nature Communications, Nature, vol. 12(1), pages 1-8, December.

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