Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Hyperspectral quantum-dot image sensors via in-pixel reconfigurable band-alignment

Abstract

High-resolution short-wave infrared hyperspectral imaging enables non-destructive material identification and imaging through scattering media, paving the way for transformative applications in portable diagnostics, precision agriculture, environmental monitoring and space exploration. However, conventional hyperspectral imagers face a compromise between spatial resolution, spectral resolution and device footprint. Here we report a miniaturized hyperspectral image sensor that mitigates this trade-off by leveraging monolithically integrated, bias-reconfigurable stacked colloidal quantum dot junctions and a bias-programmable spectral reconstruction algorithm. By applying a defined sequence of single-polarity increasing bias voltages, the interfacial band alignment can be tuned, thus mediating the collection of photon-generated carriers in colloidal quantum dot layers with different energy gap. Our imager achieves spatial resolution of 1,280 × 1,024, spectral resolution of 1 nm, reconstruction accuracy of 0.055 nm, peak detectivity above 10¹³ jones and broadband coverage (400–1,700 nm), all within a compact pixel footprint of 15 × 15 µm². The high signal-to-noise ratio and spatial resolution result in accurate reconstruction of hyperspectral image information, enabling food quality monitoring, chemical solvents discrimination and materials identification.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Comparison of operation principles between conventional and computational spectrometers.
The alternative text for this image may have been generated using AI.
Fig. 2: Operation mechanism of the hyperspectral imager.
The alternative text for this image may have been generated using AI.
Fig. 3: Detectors with bias-programmable CQD junctions.
The alternative text for this image may have been generated using AI.
Fig. 4: Spectral reconstruction.
The alternative text for this image may have been generated using AI.
Fig. 5: Hyperspectral imaging.
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Yang, Z., Albrow-Owen, T., Cai, W. & Hasan, T. Miniaturization of optical spectrometers. Science 371, eabe0722 (2021).

    Article  Google Scholar 

  2. Yang, Z. et al. Single-nanowire spectrometers. Science 365, 1017–1020 (2019).

    Article  ADS  Google Scholar 

  3. Yoon, H. H. et al. Miniaturized spectrometers with a tunable van der Waals junction. Science 378, 296–299 (2022).

    Article  ADS  Google Scholar 

  4. Fan, Y. et al. Dispersion-assisted high-dimensional photodetector. Nature 630, 77–83 (2024).

    Article  ADS  Google Scholar 

  5. Bian, L. et al. A broadband hyperspectral image sensor with high spatio-temporal resolution. Nature 635, 73–81 (2024).

    Article  ADS  Google Scholar 

  6. Bao, J. & Bawendi, M. G. A colloidal quantum dot spectrometer. Nature 523, 67–70 (2015).

    Article  ADS  Google Scholar 

  7. Tittl, A. et al. Imaging-based molecular barcoding with pixelated dielectric metasurfaces. Science 360, 1105–1109 (2018).

    Article  ADS  Google Scholar 

  8. Pohl, D. et al. An integrated broadband spectrometer on thin-film lithium niobate. Nat. Photonics 14, 24–29 (2020).

    Article  ADS  Google Scholar 

  9. Grotevent, M. J. et al. Integrated photodetectors for compact Fourier-transform waveguide spectrometers. Nat. Photonics 17, 59–64 (2023).

    Article  ADS  Google Scholar 

  10. De Oliveira, N. et al. High-resolution broad-bandwidth Fourier-transform absorption spectroscopy in the VUV range down to 40 nm. Nat. Photonics 5, 149–153 (2011).

    Article  ADS  Google Scholar 

  11. Redding, B., Liew, S. F., Sarma, R. & Cao, H. Compact spectrometer based on a disordered photonic chip. Nat. Photonics 7, 746–751 (2013).

    Article  ADS  Google Scholar 

  12. Yao, C. et al. Chip-scale sensor for spectroscopic metrology. Nat. Commun. 15, 10305 (2024).

    Article  ADS  Google Scholar 

  13. Zhu, Y. et al. Flexible and high-performance solution-processable single-detector organic spectrometer. Adv. Mater. 2502608, 1–11 (2025).

    Google Scholar 

  14. Xu, Y., Lu, L., Saragadam, V. & Kelly, K. F. A compressive hyperspectral video imaging system using a single-pixel detector. Nat. Commun. 15, 1–15 (2024).

    Google Scholar 

  15. Wang, Z. et al. Single-shot on-chip spectral sensors based on photonic crystal slabs. Nat. Commun. 10, 3–8 (2019).

    ADS  Google Scholar 

  16. Lee, D. G., Song, G., Lee, C., Lee, C. & Jang, M. Reconstructive spectrometer using double-layer disordered metasurfaces. Sci. Adv. 11, 1–10 (2025).

    Article  Google Scholar 

  17. Yuan, S., Naveh, D., Watanabe, K., Taniguchi, T. & Xia, F. A wavelength-scale black phosphorus spectrometer. Nat. Photonics 15, 601–607 (2021).

    Article  ADS  Google Scholar 

  18. Wang, H., Chen, S. & Chen, X. Room-temperature self-powered infrared spectrometer based on a single black phosphorus heterojunction diode. Nano Lett. 24, 326–330 (2024).

    Article  ADS  Google Scholar 

  19. Du, X. et al. A microspectrometer with dual-signal spectral reconstruction. Nat. Electron. 7, 984–990 (2024).

    Article  Google Scholar 

  20. Uddin, G. et al. Broadband miniaturized spectrometers with a van der Waals tunnel diode. Nat. Commun. 15, 1–7 (2024).

    Article  Google Scholar 

  21. Deng, W. et al. Electrically tunable two-dimensional heterojunctions for miniaturized near-infrared spectrometers. Nat. Commun. 13, 4627 (2022).

    Article  ADS  Google Scholar 

  22. Cui, X. et al. Miniaturized spectral sensing with a tunable optoelectronic interface. Sci. Adv. 11, 1–7 (2025).

    Article  Google Scholar 

  23. Darweesh, R. et al. Nonlinear self- ­calibrated spectrometer with single InSe heterojunction device. Sci. Adv. 10, 20 (2024).

    Article  Google Scholar 

  24. Wu, G. et al. Miniaturized spectrometer with intrinsic long-term image memory. Nat. Commun. 15, 676 (2024).

    Article  ADS  Google Scholar 

  25. Tang, X., Ackerman, M. M., Chen, M. & Guyot-Sionnest, P. Dual-band infrared imaging using stacked colloidal quantum dot photodiodes. Nat. Photonics 13, 277–282 (2019).

    Article  ADS  Google Scholar 

  26. He, X. et al. A microsized optical spectrometer based on an organic photodetector with an electrically tunable spectral response. Nat. Electron. 7, 694–704 (2024).

    Article  Google Scholar 

  27. Yu, H. et al. A miniaturized cascaded-diode-array spectral imager. Nat. Photonics https://doi.org/10.1038/s41566-025-01754-6 (2025).

    Article  Google Scholar 

  28. Mu, G. et al. Visible to mid-wave infrared PbS/HgTe colloidal quantum dot imagers. Nat. Photonics 18, 1147–1154 (2024).

    Article  ADS  Google Scholar 

  29. Qin, T. et al. Mercury telluride colloidal quantum-dot focal plane array with planar p–n junctions enabled by in situ electric field-activated doping. Sci. Adv. 9, eadg7827 (2023).

    Article  Google Scholar 

  30. Mu, G. et al. Colloidal quantum-dot heterojunction imagers for room-temperature thermal imaging. Adv. Mater. 2416877, 1–9 (2025).

    Google Scholar 

  31. Sergeeva, K. A. et al. The rise of HgTe colloidal quantum dots for infrared optoelectronics. Adv. Funct. Mater. 2405307, 1–32 (2024).

    Google Scholar 

  32. Mu, G. et al. Ultrasensitive colloidal quantum-dot upconverters for extended short-wave infrared. ACS Appl. Mater. Interfaces 14, 45553–45561 (2022).

    Article  Google Scholar 

  33. Sergeeva, K. A. et al. Obviating ligand exchange preserves the intact surface of HgTe colloidal quantum dots and enhances performance of short wavelength infrared photodetectors. Adv. Mater. 35, 2306518 (2023).

    Google Scholar 

  34. Zhang, M. et al. High-performance photodiode-type photodetectors based on polycrystalline formamidinium lead iodide perovskite thin films. Sci. Rep. 8, 11157 (2018).

    Article  ADS  Google Scholar 

  35. Han, J., Yang, D., Ma, D., Qiao, W. & Wang, Z. Y. Low-bandgap polymers for high-performance photodiodes with maximal EQE near 1200 nm and broad spectral response from 300 to 1700 nm. Adv. Opt. Mater. 6, 1800038 (2018).

    Article  Google Scholar 

  36. Hakkel, K. D. et al. Integrated near-infrared spectral sensing. Nat. Commun. 13, 1–8 (2022).

    Article  Google Scholar 

Download references

Acknowledgements

X.T. is sponsored by the National Key R&D Program of China (grant no. 2021YFA0717600), National Natural Science Foundation of China (NSFC no. 62035004), Young Elite Scientists Sponsorship Program by CAST (grant no. YESS20200163), Fundamental Research Funds for the Central Universities and Beijing Municipal Science and Technology Commission, Administrative Commission of Zhongguancun Science Park (grant no. Z241100009324010). G.M. is sponsored by the National Natural Science Foundation of China (NSFC no. 62575021, NSFC no. 62305022), Young Elite Scientists Sponsorship Program by CAST (grant no. YESS20240239). Q.H. is sponsored by the National Natural Science Foundation of China (NSFC no. U22A2081).

Author information

Authors and Affiliations

Contributions

X.T. supervised and directed the study. X.T. and G.M. conceived and designed the experiments. X.T. and G.M. cowrote the manuscript. G.M. performed the material characterization. J.Z. fabricated detectors. C.B. designed spectral experiments and reconstruction algorithms. Y.L. contributed to the focal-plane array characterization. Q.H. contributed to the supervision. All authors contributed to discussions regarding the manuscript.

Corresponding author

Correspondence to Xin Tang.

Ethics declarations

Competing interests

X.T. and Y.L. serve as cofounders and shareholders at XinIR Technology (Beijing) Co., Ltd. The other authors declare no competing interests.

Peer review

Peer review information

Nature Photonics thanks the anonymous reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information (download PDF )

Supplementary discussion of Sections 1–6, Figs. 1–18, Tables 1 and 2 and Equations 1–21.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mu, G., Bi, C., Zou, J. et al. Hyperspectral quantum-dot image sensors via in-pixel reconfigurable band-alignment. Nat. Photon. 20, 523–531 (2026). https://doi.org/10.1038/s41566-026-01860-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41566-026-01860-z

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing