Advanced Photonics Nexus, Volume. 3, Issue 4, 046009(2024)

Robust spectral reconstruction algorithm enables quantum dot spectrometers with subnanometer spectral accuracy

Wenkai Ma1、†, Qian Xue1, Yang Yang1, Hanqiu Zhang1, Daoli Zhang1, Xinzheng Lan2, Liang Gao3,4,5,6, Jianbing Zhang1,3,4,6、*, and Jiang Tang2,3,5
Author Affiliations
  • 1Huazhong University of Science and Technology, School of Integrated Circuits, Wuhan, China
  • 2Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
  • 3Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China
  • 4Huazhong University of Science and Technology, Wenzhou Advanced Manufacturing Technology Research Institute, Wenzhou, China
  • 5Optics Valley Laboratory, Wuhan, China
  • 6Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen, China
  • show less
    Figures & Tables(6)
    The strategy for fabricating the QD spectrometer. The absorption spectra of the QDs are tuned via their size and composition, and the QD filter array is fabricated by the electrohydrodynamic jet printing technique. The substrate with the QD filter array is assembled on top of a CMOS image sensor to fabricate the spectrometer. A new reconstruction algorithm is proposed to enhance the noise tolerance performance.
    (a) A picture of some typical QD solutions. (b) Absorption spectra of selected QDs. (c) Plots of QD absorption peak as a function of growth time in the seeded growth process for the QDs with different compositions.
    (a) Redshift of the absorption peak of QDs with the increase of the MCH ligand. (b) A picture of the QD filter array, in which the scale bar is 0.50 mm. (c) Uniformity and surface profile of the filter units. (d) Transmittance spectra of some filter units.
    Spectral reconstruction results of the TKVA algorithm for (a) monochromatic light, (b) a white LED spectrum, and (c) the xenon lamp spectrum. For comparison, the results of the Ridge algorithm are presented.
    Spectral reconstruction results of different algorithms at noise levels of (a) 10 dB, (b) 0 dB, and (c) −3 dB.
    Spectral reconstruction results of the (a) TKVA and (b) Ridge algorithms at different interpolation factors. Reconstruction results of room light (c) without and (d) with 10× interpolation using the TKVA and Ridge algorithms. (e) Reconstruction results of two monochromatic lights with peaks 0.1 nm apart. (f) Spectral resolution as a function of the number of QD filters.
    Tools

    Get Citation

    Copy Citation Text

    Wenkai Ma, Qian Xue, Yang Yang, Hanqiu Zhang, Daoli Zhang, Xinzheng Lan, Liang Gao, Jianbing Zhang, Jiang Tang, "Robust spectral reconstruction algorithm enables quantum dot spectrometers with subnanometer spectral accuracy," Adv. Photon. Nexus 3, 046009 (2024)

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Feb. 21, 2024

    Accepted: Jun. 3, 2024

    Published Online: Jul. 1, 2024

    The Author Email: Jianbing Zhang (jbzhang@hust.edu.cn)

    DOI:10.1117/1.APN.3.4.046009

    CSTR:32397.14.1.APN.3.4.046009

    Topics