pith. sign in

arxiv: 2605.29216 · v1 · pith:N2DSRLKMnew · submitted 2026-05-28 · ⚛️ physics.optics

Wide-field mid-infrared hyperspectral imaging beyond video rate

Pith reviewed 2026-06-29 06:15 UTC · model grok-4.3

classification ⚛️ physics.optics
keywords mid-infrared hyperspectral imagingparametric upconversionacousto-optic tunable filtersupercontinuum illuminationwide-field imaginghigh-speed spectral imagingFourier plane conversion
0
0 comments X

The pith

Mid-infrared hyperspectral imaging reaches 100 spectral bands in 10 ms via upconversion at the Fourier plane.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents a wide-field mid-infrared hyperspectral imaging system that avoids slow scanning by converting illumination through broadband parametric upconversion. Supercontinuum light is upconverted at the Fourier plane, then spectrally selected by a rapid acousto-optic tunable filter before capture on a megapixel silicon camera at 10 kHz frame rate. This produces 100 bands across 2600-4085 cm^{-1} within a 10 ms window, yielding a 100 Hz refresh rate. The angular phase-matching properties further support a snapshot mode with spatial multiplexing of channels. Such performance would enable continuous chemical mapping of moving or changing samples without motion blur.

Core claim

The hyperspectral imager acquires 100 spectral bands over 2600-4085 cm^{-1} in 10 ms at a 100 Hz refreshing rate by relying on broadband parametric upconversion of high-brightness supercontinuum illumination at the Fourier plane, followed by decomposition through a rapid acousto-optic tunable filter that records high-definition monochromatic images on a megapixel silicon camera at 10 kHz.

What carries the argument

Broadband parametric upconversion at the Fourier plane, which converts the mid-infrared scene to a near-infrared replica while preserving spatial information for subsequent fast spectral filtering.

If this is right

  • Real-time visualization becomes possible with high spatial definition across broad spectral bands.
  • Snapshot operation via angular phase-matching dependence enables simultaneous capture of multiple spectral channels.
  • High-throughput characterization of transient processes in material and life sciences follows directly from the acquisition speed.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The snapshot multiplexing approach could reduce motion artifacts in imaging of fast-moving objects compared to sequential band acquisition.
  • Adaptation to different nonlinear crystals might extend similar speeds to other infrared windows if phase-matching bandwidth can be maintained.
  • Coupling the output to existing high-frame-rate visible cameras could push spectral rates higher without new detector development.

Load-bearing premise

Broadband parametric upconversion at the Fourier plane preserves sufficient image quality and signal for megapixel high-definition imaging across the full spectral range.

What would settle it

A direct comparison showing that upconverted images lose spatial resolution or drop below usable signal-to-noise ratio at wavelengths away from the phase-matching peak would disprove the broadband high-definition claim.

Figures

Figures reproduced from arXiv: 2605.29216 by E Wu, Heping Zeng, Jianan Fang, Kun Huang, Ming Yan, Ruiyang Qin, Yan Liang.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: presents the experimental setup for the MIR hyperspectral imaging based on broadband nonlinear fre￾quency conversion. The involved MIR source originates from a high-brightness supercontinuum fiber laser with a spectral coverage from 1.9 to 3.9 µm [19]. The su￾percontinuum source eliminates the need of tuning op￾eration as typically required for OPO sources [37, 41] in broadband imaging. A long-pass filter … view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: (A), two types of plastic films are prepared to cover a copper sheet that is engraved with an acronym of “ECNU”. Film1 and film 2 are taken from two kinds of adhesive tapes, which are made of biaxially oriented polypropylene and cellulose acetate, respectively. The AOTF is set to scan 105 spectral bands with a wavenum￾ber step of 15 cm−1 over the spectral range of 2600-4160 cm−1 . The measured spectra for … view at source ↗
Figure 5
Figure 5. Figure 5: (A) presents the recorded sequence m = 130, which demonstrates transmission patterns for a series of spectral channels. The morphological distribution of the injected ethanol is almost kept unchanged within the short acquisition time of 10 ms. The fast MIR spectral videography is crucial to extract the spectral information in a dynamic scene. It can bee seen that the frames at [PITH_FULL_IMAGE:figures/ful… view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6 [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
read the original abstract

Mid-infrared hyperspectral imaging has become an indispensable tool to spatially resolve chemical information in a wide variety of samples. However, acquiring three-dimensional data cubes is typically time-consuming due to the limited speed of raster scanning or wavelength tuning, which impedes real-time visualization with high spatial definition across broad spectral bands. Here, we devise and implement a high-speed, wide-field mid-infrared hyperspectral imaging system relying on broadband parametric upconversion of high-brightness supercontinuum illumination at the Fourier plane. The upconverted replica is spectrally decomposed by a rapid acousto-optic tunable filter, which records high-definition monochromatic images at a frame rate of 10 kHz based on a megapixel silicon camera. Consequently, the hyperspectral imager allows us to acquire 100 spectral bands over 2600-4085 cm$^{-1}$ in 10 ms, corresponding to a refreshing rate of 100 Hz. Moreover, the angular dependence of phase matching in the image upconversion is leveraged to realize snapshot operation with spatial multiplexing for multiple spectral channels, which may further boost the spectral imaging rate. The high acquisition rate, wide-field operation, and broadband spectral coverage could open new possibilities for high-throughput characterization of transient processes in material and life sciences.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The manuscript describes a wide-field mid-infrared hyperspectral imaging system that performs broadband parametric upconversion of high-brightness supercontinuum illumination at the Fourier plane, followed by spectral decomposition via a rapid acousto-optic tunable filter and readout on a megapixel silicon camera. It claims to acquire 100 spectral bands over 2600-4085 cm^{-1} in 10 ms (100 Hz refresh rate) with high-definition images, and additionally proposes snapshot operation by spatially multiplexing multiple spectral channels via the angular dependence of phase matching.

Significance. If the performance claims hold with demonstrated image quality and uniformity, the work would enable real-time hyperspectral imaging at rates far beyond conventional scanning or tuning methods, with direct utility for high-throughput studies of transient processes. The Fourier-plane upconversion plus AOTF architecture is a coherent integration of existing components that could scale to video-rate or faster operation.

major comments (2)
  1. [Abstract] Abstract: the manuscript states quantitative performance metrics (100 bands in 10 ms at 100 Hz, megapixel high-definition imaging across 2600-4085 cm^{-1}) but supplies no experimental data, validation measurements, error analysis, or figures demonstrating achieved resolution, SNR, or spectral uniformity; this is load-bearing because the central claim is the realization of these rates and image quality.
  2. [Abstract] Abstract (upconversion step): the claim that Fourier-plane parametric upconversion with the supercontinuum source preserves sufficient image quality and signal for megapixel imaging across the full band is not supported by any reported characterization; phase-matching bandwidth and angular acceptance inherently vary with wavelength and spatial frequency, which could produce position-dependent efficiency or blurring at band edges and thereby undermine the 100 Hz hyperspectral rate at the stated spatial definition.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments on our manuscript. We address each major comment below and agree that additional experimental validation and characterization are needed to fully support the performance claims.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the manuscript states quantitative performance metrics (100 bands in 10 ms at 100 Hz, megapixel high-definition imaging across 2600-4085 cm^{-1}) but supplies no experimental data, validation measurements, error analysis, or figures demonstrating achieved resolution, SNR, or spectral uniformity; this is load-bearing because the central claim is the realization of these rates and image quality.

    Authors: We agree that the quantitative claims in the abstract require direct experimental support within the manuscript. While the system description and operating principles are detailed, explicit figures showing example hyperspectral data cubes, measured frame rates, SNR values, spatial resolution, and spectral uniformity across the 2600-4085 cm^{-1} range are not currently presented. We will add a new results subsection with these validation measurements and error analysis in the revised manuscript. revision: yes

  2. Referee: [Abstract] Abstract (upconversion step): the claim that Fourier-plane parametric upconversion with the supercontinuum source preserves sufficient image quality and signal for megapixel imaging across the full band is not supported by any reported characterization; phase-matching bandwidth and angular acceptance inherently vary with wavelength and spatial frequency, which could produce position-dependent efficiency or blurring at band edges and thereby undermine the 100 Hz hyperspectral rate at the stated spatial definition.

    Authors: The referee correctly notes that phase-matching bandwidth and angular acceptance can vary with wavelength and spatial frequency, potentially leading to non-uniform efficiency or blurring. Our design places the upconversion at the Fourier plane to reduce spatial-frequency dependence and uses the high-brightness supercontinuum to maintain signal levels, but we have not included explicit characterization of wavelength-dependent image quality or position-dependent efficiency. We will add experimental data quantifying these effects at the band edges and across the field of view, along with any necessary mitigation strategies, in the revised version. revision: yes

Circularity Check

0 steps flagged

No circularity: experimental system description with no derivations or fitted parameters

full rationale

The paper describes an experimental hyperspectral imaging setup using parametric upconversion and an acousto-optic tunable filter. No equations, derivations, parameter fits, or self-citations of uniqueness theorems appear in the provided text. Claims about 100 Hz acquisition rest on hardware performance rather than any mathematical reduction to inputs. This matches the reader's assessment of zero circularity for a non-theoretical work.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only review; no free parameters, axioms, or invented entities are stated or can be inferred.

pith-pipeline@v0.9.1-grok · 5758 in / 978 out tokens · 41012 ms · 2026-06-29T06:15:31.295497+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

49 extracted references

  1. [1]

    J., Khan, H

    Khan, M. J., Khan, H. S., Yousaf, A., Khurshid, K. & Abbas, A. Modern Trends in Hyperspectral Image Anal- ysis: A Review.IEEE Access6, 14118-14129 (2018)

  2. [2]

    & Smith, R

    Gao, L. & Smith, R. T. Optical hyperspectral imaging in microscopy and spectroscopy - a review of data acquisi- tion.J. Biophoton.8, 441-456 (2015)

  3. [3]

    Vodopyanov, K. L. Laser-based Mid-infrared Sources and Applications. John Wiley & Sons, Inc., (2020)

  4. [4]

    Camp, C. H. & Cicerone, M. T. Chemically sensitive bioimaging with coherent Raman scattering.Nat. Pho- ton.9, 295-305 (2015)

  5. [5]

    R., Kawai, A

    Hashimoto, K., Badarla, V. R., Kawai, A. & Ideguchi, T. Complementary vibrational spectroscopy.Nat. Commun. 10, 4411 (2019)

  6. [6]

    & Sunney, X

    Cheng, J.-X. & Sunney, X. Vibrational spectroscopic imaging of living systems: An emerging platform for bi- ology and medicine.Science350, aaa8870 (2015)

  7. [7]

    Rodrigues, E. M. & Hemmer, E. Trends in hyperspec- tral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies. Anal. Bioanal. Chem.414, 4269-4279 (2022)

  8. [8]

    & Petrich, W

    Haase, K., Kr¨ oger-Lui, N., Pucci, A., Sch¨ onhals, A. & Petrich, W. Real-time mid-infrared imaging of living mi- croorganisms.J. Biophoton.9, 61-66 (2016)

  9. [9]

    B., Huot, L., Meng, L., Junaid, S., Tomko, J., Lloyd, G

    Hermes, M., Morrish, R. B., Huot, L., Meng, L., Junaid, S., Tomko, J., Lloyd, G. R., Masselink, W. T., Tidemand- Lichtenberg, P., Pedersen, C., Palombo, F. & Stone, N. Mid-IR hyperspectral imaging for label-free histopathol- ogy and cytology.J. Optics-uk20, 023002 (2018)

  10. [10]

    T., Rowlette, J., Kahl, L

    Shi, L., Liu, X., Shi, L., Stinson, H. T., Rowlette, J., Kahl, L. J., Evans, C. R., Zheng, C., Dietrich, L. E. P. & Min, W. Mid-infrared metabolic imaging with vibrational probes.Nat. Methods17, 844-851 (2020)

  11. [11]

    J., Trevisan, J., Bassan, P., Bhargava, R., Butler, H

    Baker, M. J., Trevisan, J., Bassan, P., Bhargava, R., Butler, H. J., Dorling, K. M., Fielden, P. R., Fogarty, S. W., Fullwood, N. J., Heys, K. A., Hughes, C., Lasch, P., Martin-Hirsch, P. L., Obinaju, B., Sockalingum, G. D., Sul´ e-Suso, J., Strong, R. J., Walsh, M. J., Wood, B. R., Gardner, P. & Martin, F. L. Using Fourier transform IR spectroscopy to an...

  12. [12]

    J., McDonald, A

    Baier, M. J., McDonald, A. J., Clements, K. A., Golden- stein, C. S. & Son, S. F. High-speed multi-spectral imag- ing of the hypergolic ignition of ammonia borane.Proc. Combust. Inst.38, 4433-4440 (2020)

  13. [13]

    Chan, K. L. A. & Kazarian, S. G. FT-IR Spectroscopic Imaging of Reactions in Multiphase Flow in Microfluidic Channels.Anal. Chem.84, 4052-4056 (2012)

  14. [14]

    & Goda, K

    Hiramatsu, K., Ideguchi, T., Yonamine, Y., Lee, S., Luo, Y., Hashimoto, K., Ito, T., Hase, M., Park, J.-W., Ka- sai, Y., Sakuma, S., Hayakawa, T., Arai, F., Hoshino, Y. & Goda, K. High-throughput label-free molecular finger- printing flow cytometry.Sci. Adv.5, eaau0241 (2019)

  15. [15]

    & Gardner, P

    Pilling, M. & Gardner, P. Fundamental developments in infrared spectroscopic imaging for biomedical appli- cations.Chem. Soc. Rev.45, 1935-1957 (2016),

  16. [16]

    Dorling, K. M. & Baker, M. J. Rapid FTIR chemical imaging: Highlighting FPA detectors.Trends Biotechnol. 31, 437-438 (2013)

  17. [17]

    & Bhargava, R

    Yeh, K., Kenkel, S., Liu, J.-N. & Bhargava, R. Fast In- frared Chemical Imaging with a Quantum Cascade Laser, Anal. Chem.87, 485-493 (2015)

  18. [18]

    C., Dabat-Blondeau, C., Unger, M., Sedl- mair, J., Parkinson, D

    Martin, M. C., Dabat-Blondeau, C., Unger, M., Sedl- mair, J., Parkinson, D. Y., Bechtel, H. A., Illman, B., Castro, J. M., Keiluweit, M., Buschke, D., Ogle, B., Nasse, M. J. & Hirschmugl, C. J. 3D spectral imag- ing with synchrotron Fourier transform infrared spectro- microtomography.Nat. Methods10, 861-864 (2013)

  19. [19]

    & F´ evrier, S

    Borondics, F., Jossent, M., Sandt, C., Lavoute, L., Gaponov, D., Hideur, A., Dumas, P. & F´ evrier, S. Supercontinuum-based Fourier transform infrared spec- tromicroscopy.Optica5, 378-381 (2018)

  20. [20]

    & Nguyen, B.-M

    Razeghi, M. & Nguyen, B.-M. Advances in mid-infrared detection and imaging: a key issues review.Rep. Prog. Phys.77, 082401 (2014)

  21. [21]

    Wang, P., Xia, H., Li, Q., Wang, F., Zhang, L., Li, T., 11 Martyniuk, P., Rogalski, A. & Hu, W. Sensing infrared photons at room temperature: from bulk materials to atomic layers.Small15, 1904396 (2019)

  22. [22]

    & Moselund, P

    Farries, M., Ward, J., Lindsay, I., Nallala, J. & Moselund, P. Fast hyper-spectral imaging of cytological samples in the mid-infrared wavelength region.Proc. SPIE10060, 100600Y (2017)

  23. [23]

    D., Valle, S., Ward, J., Stevens, G., Far- ries, M., Huot, L., Brooks, C., Moselund, P

    Lindsay, I. D., Valle, S., Ward, J., Stevens, G., Far- ries, M., Huot, L., Brooks, C., Moselund, P. M., Vinella, R. M., Abdalla, M., Gaspari, D. D., M. von Wurtem- berg, R., Smuk, S., Martijn, H., Nallala, J., Stone, N., Barta, C., Hasal, R., Moller, U., Bang, O., Sujecki, S.& Seddon, A. Towards supercontinuum-driven hyperspec- tral microscopy in the mid-...

  24. [24]

    J., Meng, L., Pedersen, C

    Barh, A., Rodrigo, P. J., Meng, L., Pedersen, C. & Tidemand-Lichtenberg, P. Parametric upconversion imaging and its applications.Adv. Opt. Photon.11, 952- 1019 (2019)

  25. [25]

    S., Tidemand-Lichtenberg, P

    Dam, J. S., Tidemand-Lichtenberg, P. & Pedersen, C. Room-temperature mid-infrared single-photon spectral imaging.Nat. Photon.6, 788-793 (2012)

  26. [26]

    V., Maniam, S

    Paterova, A. V., Maniam, S. M., Yang, H., Grenci, G. & Krivitsky, L. A. Hyperspectral infrared microscopy with visible light.Sci. Adv.6, eabd0460 (2020)

  27. [27]

    M., Avery, E

    Kviatkovsky, I., Chrzanowski, H. M., Avery, E. G., Bar- tolomaeus, H. & Ramelow, S. Microscopy with unde- tected photons in the mid-infrared.Sci. Adv.6, eabd0264 (2020)

  28. [28]

    & Suchowski, H

    Mrejen, M., Erlich, Y., Levanon, A. & Suchowski, H. Multicolor Time-Resolved Upconversion Imaging by Adi- abatic Sum Frequency Conversion.Laser Photon. Rev. 14, 2000040 (2020)

  29. [29]

    & Shi, B.-S

    Ge, Z., Zhou, Z.-Y., Cheng, J.-X., Chen, L., Li, Y.-H., Li, Y., Niu, S.-J. & Shi, B.-S. Thermal camera based on frequency upconversion and its noise-equivalent temper- ature difference characterization.Adv. Photon. Nexus2, 046002 (2023)

  30. [30]

    & Zeng, H

    Wang, Y., Fang, J., Zheng, T., Liang, Y., Hao, Q., Wu, E, Yan, M., Huang, K. & Zeng, H. Mid-infrared single- photon edge enhanced imaging based on nonlinear vortex filtering.Laser Photon. Rev.15, 2100189 (2021)

  31. [31]

    Wide- field mid-infrared single-photon upconversion imaging

    Huang, K., Fang, J., Yan, M., Wu, E & Zeng, H. Wide- field mid-infrared single-photon upconversion imaging. Nat. Commun.13,1077 (2022)

  32. [32]

    & Zeng, H

    Zheng, T., Huang, K., Sun, B., Fang, J., Chu, Y., Guo, H., Wu, E, Yan, M. & Zeng, H. High-Speed Mid-Infrared Single-Photon Upconversion Spectrometer,Laser Pho- ton. Rev.17, 2300149 (2023)

  33. [33]

    C., Mathez, M., Hermes, M., Stone, N., Shepherd, N., Ebrahim-Zadeh, M., Tidemand- Lichtenberg, P

    Junaid, S., Kumar, S. C., Mathez, M., Hermes, M., Stone, N., Shepherd, N., Ebrahim-Zadeh, M., Tidemand- Lichtenberg, P. & Pedersen, C. Video-rate, mid-infrared hyperspectral upconversion imaging.Optica6, 702-708 (2019)

  34. [34]

    P., Kischkat, J., Mas- selink, W

    Junaid, S., Tomko, J., Semtsiv, M. P., Kischkat, J., Mas- selink, W. T., Pedersen, C. & Tidemand-Lichtenberg, P. Mid-infrared upconversion based hyperspectral imaging. Opt. Express26, 2203-2211 (2018)

  35. [35]

    M., Tidemand-Lichtenberg, P., Dam, J

    Kehlet, L. M., Tidemand-Lichtenberg, P., Dam, J. S. & Pedersen, C. Infrared upconversion hyperspectral imag- ing.Opt. Lett.40, 938-941 (2015)

  36. [36]

    M., Sanders, N., Tidemand-Lichtenberg, P., Dam, J

    Kehlet, L. M., Sanders, N., Tidemand-Lichtenberg, P., Dam, J. S. & Pedersen, C. Infrared hyperspectral up- conversion imaging using spatial object translation.Opt. Express23, 34023-34028 (2015)

  37. [37]

    & Fuji, T

    Zhao, Y., Kusama, S., Furutani, Y., Huang, W.-H., Luo, C.-W. & Fuji, T. High-speed scanless entire bandwidth mid-infrared chemical imaging.Nat. Commun.14, 3929 (2023)

  38. [38]

    & Cheng, J.-X

    Yin, J., Zhang, M., Tan, Y., Guo, Z., He, H., Lan, L. & Cheng, J.-X. Video-rate mid-infrared photothermal imaging by single-pulse photothermal detection per pixel, Sci. Adv.9, eadg8814 (2023)

  39. [39]

    Ultrafast chemical imaging by widefield photothermal sensing of infrared absorption

    Bai, Y., Zhang, D., Lan, L., Huang, Y., Maize, K., Shakouri, A., Cheng, J.-X. Ultrafast chemical imaging by widefield photothermal sensing of infrared absorption. Sci. Adv.5, eaav7127 (2019)

  40. [40]

    A., Cirloganu, C

    Fishman, D. A., Cirloganu, C. M., Webster, S., Padilha, L. A., Monroe, M., Hagan, D. J. & Van Stryland, E. W. Sensitive mid-infrared detection in wide-bandgap semi- conductors using extreme non-degenerate two-photon ab- sorption,Nat. Photon.5, 561-565 (2011)

  41. [41]

    W., Chen, A., Ettenberg, M

    Knez, D., Toulson, B. W., Chen, A., Ettenberg, M. H., Nguyen, H., Potma, E. O. & Fishman, D. A. Spectral imaging at high definition and high speed in the mid- infrared.Sci. Adv.8, eade4247 (2022)

  42. [42]

    & Zeng, H

    Fang, J., Huang, K., Wu, E, Yan, M. & Zeng, H. Mid- infrared single-photon 3D imaging.Light Sci. Appl.12, 144 (2023)

  43. [43]

    D., Valle, S., Pannell, C

    Ward, J. D., Valle, S., Pannell, C. & Johnson, N. P. Acousto-Optic Tunable Filters (AOTFs) Optimised for Operation in the 2-4µm region.J. Phys. Conf. Ser.619, 012054 (2015)

  44. [44]

    & Zeng, H

    Huang, K., Wang, Y., Fang, J., Kang, W., Sun, Y., Liang, Y., Hao, Q., Yan, M. & Zeng, H. Mid-infrared photon counting and resolving via efficient frequency up- conversion.Photon. Res.9, 259 (2021)

  45. [45]

    R., Møller, U., Kubat, I., Zhou, B., Dupont, S., Ramsay, J., Benson, T., Sujecki, S., Abdel-Moneim, N., Tang, Z., Furniss, D., Seddon, A

    Petersen, C. R., Møller, U., Kubat, I., Zhou, B., Dupont, S., Ramsay, J., Benson, T., Sujecki, S., Abdel-Moneim, N., Tang, Z., Furniss, D., Seddon, A. & Bang, O. Mid- infrared supercontinuum covering the 1.4-13.3µm molec- ular fingerprint region using ultra-high NA chalcogenide step-index fibre,Nat. Photon.8, 830 (2014)

  46. [46]

    J., Høgstedt, L., Friis, S

    Rodrigo, P. J., Høgstedt, L., Friis, S. M. M., Lindvold, L. R., Tidemand-Lichtenberg, P. & Pedersen, C. Room- Temperature, High-SNR Upconversion Spectrometer in the 6-12µm Region.Laser Photon. Rev.15, 2000443 (2021)

  47. [47]

    P., Han, J., Wang, Z

    Hua, X., Wang, Y., Wang, S., Zou, X., Zhou, Y., Li, L., Yan, F., Cao, X., Xiao, S., Tsai, D. P., Han, J., Wang, Z. & Zhu, S. Ultra-compact snapshot spectral light-field imaging.Nat. Commun.13, 2732 (2022)

  48. [48]

    & Hao, X

    Huang, L., Luo, R., Liu, X. & Hao, X. Spectral imaging with deep learning.Light Sci. Appl.11, 61 (2022)

  49. [49]

    M., Zhu, S., Dickson, I., Muthuswamy, B., Ramanathan, J., Shahverdi, A

    Rehain, P., Sua, Y. M., Zhu, S., Dickson, I., Muthuswamy, B., Ramanathan, J., Shahverdi, A. & Huang, Y.-P. Noise-tolerant single photon sensitive three- dimensional imager.Nat. Commun.11, 921 (2020). Acknowledgements This work was supported by National Natural Sci- ence Foundation of China (62175064, 62235019, 62035005, 12022411); Shanghai Pilot Program f...