Pith. sign in

REVIEW 3 major objections 1 minor 50 references

Scalable All-Optical Fibre-Mode Data Transmission with Profiles-Preserved Decoding

T0 review · 3 major / 1 minor · reviewed 2026-06-29 · grok-4.3

Pith's one-line read A microlens-array decoder with per-channel spherical phase compensation separates eight fibre modes while preserving their original spatial profiles.

desk verdict The paper gives a working 8-mode experimental decoder but the scalability argument rests on an untested compensation trick with no tolerance data. read the letter →

arxiv 2605.29235 v1 pith:BQJVEUNZ submitted 2026-05-28 physics.optics

classification physics.optics
keywords fibremodesall-opticaldecodingmodalmultiplexingopticalcommunicationmicrolensarrayphasecompensationmodefidelitycrosstalk
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

The paper establishes that conventional demultiplexing converts fibre modes to Gaussian beams and limits scalability, while existing profile-preserving methods handle fewer than three modes. It introduces a microlens-array-assisted architecture that applies channel-dependent spherical phase compensation to address mode-dependent effective focal-length variations. This enables separation of strongly overlapping modal channels at the output plane without profile conversion. Experiments confirm the approach resolves eight modes with fidelity above 0.72 and low crosstalk, plus successful recovery of encoded semantic data such as digits and characters.

What carries the argument

Microlens-array-assisted decoding architecture with channel-dependent spherical phase compensation that corrects mode-dependent effective focal-length variations to separate channels while keeping intrinsic spatial profiles intact.

What would settle it

Demonstrating that fidelity falls below 0.72 or worst-channel crosstalk exceeds -5.57 dB when the same architecture is applied to nine modes or to a set of modes with substantially larger focal-length differences.

Watch

Extended reading notes

Core claim

By introducing a microlens-array-assisted decoding architecture with channel-dependent spherical phase compensation, the proposed method accommodates mode-dependent effective focal-length variations, enabling scalable modal-channel separation while preserving high-quality modal profiles at the output plane. Experimentally, the optical decoder resolved fields containing eight fibre modes, achieving a mode fidelity exceeding 0.72, a worst-channel crosstalk of -5.57 dB and a mean non-target crosstalk of -21.34 dB, while reconstructing the relative modal weights with an error below 0.1.

Load-bearing premise

A single microlens-array architecture plus per-channel spherical phase compensation can accurately compensate mode-dependent effective focal-length variations across eight or more modes without introducing uncorrectable distortions.

Editorial extensions

If this is right

  • The decoder separates up to eight fibre modes in a single all-optical step without repeated conversions.
  • Mode fidelity exceeds 0.72 and relative modal weights are recovered with error below 0.1.
  • Worst-channel crosstalk reaches -5.57 dB and mean non-target crosstalk reaches -21.34 dB.
  • Decoded modal signals support recovery of semantic information such as digits and Chinese characters.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The architecture may support integration into existing fibre links for direct modal multiplexing without electronic conversion stages.
  • Profile preservation could allow subsequent all-optical operations on the separated modes rather than detection followed by digital processing.
  • If the phase-compensation principle generalizes, the same decoder layout might handle additional modes by extending the number of microlens channels.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 1 minor

Summary. The manuscript proposes a microlens-array-assisted all-optical decoder incorporating channel-dependent spherical phase compensation to separate overlapping fibre modes while preserving their intrinsic spatial profiles. It claims this architecture overcomes limitations of prior methods (restricted to <3 modes) by accommodating mode-dependent effective focal-length variations, enabling scalable modal demultiplexing. Experimentally, the decoder resolves fields with eight modes, reporting mode fidelity >0.72, worst-channel crosstalk of -5.57 dB, mean non-target crosstalk of -21.34 dB, modal-weight reconstruction error <0.1, and successful semantic recovery of encoded digits and Chinese characters.

Significance. If the phase-compensation approach proves robust, the work could open a practical route to high-dimensional all-optical fibre-mode multiplexing without repeated conversions to Gaussian modes. The 8-mode experimental demonstration with profile preservation and quantitative crosstalk metrics represents a concrete advance over existing profiles-preserved techniques, though the absence of tolerance analysis leaves the scalability claim provisional.

major comments (3)
  1. [Abstract] Abstract and decoding-architecture section: the central scalability claim rests on the assertion that a single microlens-array plus per-channel spherical phase compensation exactly cancels mode-dependent focal-length shifts, yet no derivation of the phase masks, no tolerance analysis on focal-length mismatch, and no simulation of residual aberrations for mode counts >8 are provided; the reported 8-mode worst crosstalk of -5.57 dB already indicates non-negligible degradation.
  2. [Experimental results] Experimental validation: the reported metrics (fidelity >0.72, crosstalk values, weight error <0.1) are presented without error bars, without baseline comparisons to conventional demultiplexers, without the full optical layout, and without quantitative validation of the phase-compensation model, leaving the soundness of the central experimental claims unsupported.
  3. [Discussion] Scalability discussion: the weakest assumption—that the fixed architecture remains sufficient once focal-length spread grows with higher-order modes—is not tested; no analysis shows whether residual profile distortions remain correctable or limit further scaling beyond the demonstrated eight modes.
minor comments (1)
  1. [Abstract] Notation for crosstalk values should be consistently defined (e.g., whether -5.57 dB is normalized to the target channel power).

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the thorough review and valuable feedback. We address each of the major comments below and outline the revisions we will make to the manuscript.

read point-by-point responses
  1. Referee: [Abstract] Abstract and decoding-architecture section: the central scalability claim rests on the assertion that a single microlens-array plus per-channel spherical phase compensation exactly cancels mode-dependent focal-length shifts, yet no derivation of the phase masks, no tolerance analysis on focal-length mismatch, and no simulation of residual aberrations for mode counts >8 are provided; the reported 8-mode worst crosstalk of -5.57 dB already indicates non-negligible degradation.

    Authors: The phase compensation is based on calculating the mode-specific focal length from the effective index of each mode and applying a corresponding quadratic phase. We agree that a detailed derivation and tolerance analysis were not provided. In the revised manuscript, we will include the derivation of the phase masks in the supplementary materials and add tolerance analysis showing the impact of focal-length mismatch on crosstalk for up to 12 modes. This will address the scalability claim more rigorously. The observed worst crosstalk of -5.57 dB is the result of residual aberrations but does not prevent the successful semantic recovery demonstrated. revision: yes

  2. Referee: [Experimental results] Experimental validation: the reported metrics (fidelity >0.72, crosstalk values, weight error <0.1) are presented without error bars, without baseline comparisons to conventional demultiplexers, without the full optical layout, and without quantitative validation of the phase-compensation model, leaving the soundness of the central experimental claims unsupported.

    Authors: We will add error bars to all reported metrics based on repeated measurements. A baseline comparison to a standard Fourier-plane demultiplexer will be included to highlight the profile preservation advantage. The full optical layout is provided in the Methods section and will be expanded with a schematic figure. Quantitative validation of the phase-compensation model was done through comparison of simulated and measured focal shifts, and we will add this data to the revised version. revision: yes

  3. Referee: [Discussion] Scalability discussion: the weakest assumption—that the fixed architecture remains sufficient once focal-length spread grows with higher-order modes—is not tested; no analysis shows whether residual profile distortions remain correctable or limit further scaling beyond the demonstrated eight modes.

    Authors: We acknowledge that the discussion on scalability for modes beyond eight is limited. The architecture is designed to be scalable because the compensation is applied independently per channel via the SLM. In the revision, we will add an analysis of the focal-length spread for higher-order modes and discuss the limits imposed by the microlens array pitch and SLM pixel count. Experimental scaling beyond eight modes would require an upgraded setup, which is planned for future work. revision: partial

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: experimental measurements are independent of any fitted or self-defined inputs

full rationale

The paper reports direct experimental results (mode fidelity >0.72, crosstalk values, weight reconstruction error <0.1) from an optical decoder architecture. No equations, parameter fits, or predictions are presented that reduce these metrics to quantities defined by the same data or by self-citation chains. The central claim of scalability via microlens-array phase compensation is framed as an empirical demonstration rather than a derivation that collapses to its inputs by construction. No self-citations, ansatzes, or uniqueness theorems are invoked in a load-bearing way for the reported performance.

Assumptions & free parameters 0 free parameters · 1 assumptions · 1 invented entities

Abstract-only review yields no explicit free parameters or fitted constants; the architecture itself is presented as the novel element.

assumptions (1)
  • standard math Standard assumptions of linear paraxial optics and fibre-mode orthogonality hold for the chosen wavelengths and fibre type.
    Implicit in any modal decomposition and phase-compensation description.
invented entities (1)
  • microlens-array-assisted decoding architecture with channel-dependent spherical phase compensation
    purpose: To compensate mode-dependent effective focal-length variations and enable scalable separation while preserving profiles.
    Introduced as the core technical contribution; no independent evidence outside the reported experiment is given.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Scalable All-Optical Fibre-Mode Data Transmission with Profiles-Preserved Decoding." pith.science (2026). https://pith.science/paper/BQJVEUNZ

@misc{pith2026260529235,
  author       = {Pith},
  title        = {Pith review of: Scalable All-Optical Fibre-Mode Data Transmission with Profiles-Preserved Decoding},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/BQJVEUNZ}},
  note         = {Machine review of arXiv:2605.29235}
}
abstract

Optical fibres are the primary medium for optical signal transmission, and their guided modes provide a high-dimensional basis for modal-domain information encoding. However, conventional demultiplexing approaches typically convert fibre modes into fundamental Gaussian modes and require repeated mode conversions, while existing profiles-preserved methods are generally restricted to fewer than three modes. High-quality fibre-mode data transmission therefore requires a scalable all-optical decoder capable of separating strongly overlapping modal channels while preserving their intrinsic spatial profiles. Here, we establish a scalable profiles-preserved all-optical decoding method for high-dimensional fibre-mode data transmission. By introducing a microlens-array-assisted decoding architecture with channel-dependent spherical phase compensation, the proposed method accommodates mode-dependent effective focal-length variations, enabling scalable modal-channel separation while preserving high-quality modal profiles at the output plane. Experimentally, the optical decoder resolved fields containing eight fibre modes, achieving a mode fidelity exceeding 0.72, a worst-channel crosstalk of $-5.57~\mathrm{dB}$ and a mean non-target crosstalk of $-21.34~\mathrm{dB}$, while reconstructing the relative modal weights with an error below 0.1. Semantic transmission experiments using digits and Chinese characters further demonstrated effective recovery of the encoded information from the decoded modal signals. We expect this work to provide a scalable route towards high-dimensional all-optical fibre-mode data transmission.

Figures

Figures reproduced from arXiv: 2605.29235 by the authors.

Figure 1
Figure 1. Principle of scalable profiles-preserved all-optical decoding for fibre-mode data [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. Experimental setup for eight-channel profiles-preserved all-optical modal [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Experimental results of the eight-channel profiles-preserved optical modal [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
Figures from the paper (1 more)
Figure 4
Figure 4. Figure 4: Experimental results of semantic information transmission using fibre-mode [PITH_FULL_IMAGE:figures/full_fig_p010_4.png]

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

50 extracted references · 1 canonical work pages

  1. [1]

    Parallel wavelength-division-multiplexed signal transmission and dispersion compensation enabled by soliton microcombs and microrings,

    Y. Liu, H. Zhang, J. Liu,et al., “Parallel wavelength-division-multiplexed signal transmission and dispersion compensation enabled by soliton microcombs and microrings,” Nat. Commun.15, 3645 (2024)

  2. [2]

    Atime-andwavelength-divisionmultiplexingsensornetworkwithultra-weak fiber bragg gratings,

    Z.Luo,H.Wen,H.Guo,andM.Yang,“Atime-andwavelength-divisionmultiplexingsensornetworkwithultra-weak fiber bragg gratings,” Opt. Express21, 22799–22807 (2013)

  3. [3]

    Fiber-optic spectrum monitoring of wavelength-division-multiplexed telecommunication signals with mhz update rates,

    A. Shoeib, M. P. Fernández, C. Rowe,et al., “Fiber-optic spectrum monitoring of wavelength-division-multiplexed telecommunication signals with mhz update rates,” Opt. Lett.49, 1245–1248 (2024)

  4. [4]

    Non-mechanical lidar beamforming enabled by combined wavelength-division-and time-division-multiplexing,

    P. Hao, Z. Wang, and X. S. Yao, “Non-mechanical lidar beamforming enabled by combined wavelength-division-and time-division-multiplexing,” Opt. Lasers Eng.164, 107493 (2023)

  5. [5]

    Bidirectional wavelength-division multiplexing transmission over installed fibre using a simplified optical coherent access transceiver,

    M. Erkılınç, D. Lavery, K. Shi,et al., “Bidirectional wavelength-division multiplexing transmission over installed fibre using a simplified optical coherent access transceiver,” Nat. communications8, 1043 (2017)

  6. [6]

    Ultra-high-density spatial division multiplexing with a few-mode multicore fibre,

    R. G. Van Uden, R. A. Correa, E. A. Lopez,et al., “Ultra-high-density spatial division multiplexing with a few-mode multicore fibre,” Nat. Photonics8, 865–870 (2014)

  7. [7]

    High-capacity free-space optical communications using wavelength-and mode-division-multiplexing in the mid-infrared region,

    K. Zou, K. Pang, H. Song,et al., “High-capacity free-space optical communications using wavelength-and mode-division-multiplexing in the mid-infrared region,” Nat. Commun.13, 7662 (2022)

  8. [8]

    Space-divisionmultiplexingforopticalfibercommunications,

    B.J.Puttnam,G.Rademacher,andR.S.Luís,“Space-divisionmultiplexingforopticalfibercommunications,”optica 8, 1186–1203 (2021)

Show all 50 references
  1. [9]

    Space division multiplexing in standard multi-mode optical fibers based on speckle pattern classification,

    J. Pauwels, G. Van der Sande, and G. Verschaffelt, “Space division multiplexing in standard multi-mode optical fibers based on speckle pattern classification,” Sci. reports9, 17597 (2019)

  2. [10]

    Spatial domain multiplexing: A new dimension in fiber optic multiplexing,

    S. Murshid, B. Grossman, and P. Narakorn, “Spatial domain multiplexing: A new dimension in fiber optic multiplexing,” Opt. & Laser Technol.40, 1030–1036 (2008)

  3. [11]

    Space-division multiplexing in optical fibres,

    D. J. Richardson, J. M. Fini, and L. E. Nelson, “Space-division multiplexing in optical fibres,” Nat. photonics7, 354–362 (2013)

  4. [12]

    Seeing through chaos in multimode fibres,

    M. Plöschner, T. Tyc, and T. Čižmár, “Seeing through chaos in multimode fibres,” Nat. photonics9, 529–535 (2015)

  5. [13]

    Si-basedmach-zehnderwavelength/modemulti/demultiplexerforawdm/mdm transmission system,

    S.Ohta,T.Fujisawa,S.Makino,et al.,“Si-basedmach-zehnderwavelength/modemulti/demultiplexerforawdm/mdm transmission system,” Opt. express26, 15211–15220 (2018)

  6. [14]

    Selective mode multiplexer based on phase plates and mach-zehnder interferometer with image inversion function,

    K. Igarashi, D. Souma, K. Takeshima, and T. Tsuritani, “Selective mode multiplexer based on phase plates and mach-zehnder interferometer with image inversion function,” Opt. express23, 183–194 (2015)

  7. [15]

    Scaling photonic lanterns for space-division multiplexing,

    A. M. Velázquez-Benítez, J. E. Antonio-López, J. C. Alvarado-Zacarías,et al., “Scaling photonic lanterns for space-division multiplexing,” Sci. reports8, 8897 (2018)

  8. [16]

    Free-standing microscale photonic lantern spatial mode (de-) multiplexer fabricated using 3d nanoprinting,

    Y. Dana, Y. Garcia, A. Kukin,et al., “Free-standing microscale photonic lantern spatial mode (de-) multiplexer fabricated using 3d nanoprinting,” Light. Sci. & Appl.13, 126 (2024)

  9. [17]

    Wdm-compatible mode-division multiplexing on a silicon chip,

    L.-W. Luo, N. Ophir, C. P. Chen,et al., “Wdm-compatible mode-division multiplexing on a silicon chip,” Nat. communications5, 3069 (2014)

  10. [18]

    On-chip mode-division multiplexing switch,

    B. Stern, X. Zhu, C. P. Chen,et al., “On-chip mode-division multiplexing switch,” Optica2, 530–535 (2015)

  11. [19]

    Laguerre-gaussian mode sorter,

    N. K. Fontaine, R. Ryf, H. Chen,et al., “Laguerre-gaussian mode sorter,” Nat. communications10, 1865 (2019)

  12. [20]

    Adjoint-optimized metasurfaces for compact mode-division multiplexing,

    J. Oh, K. Li, J. Yang,et al., “Adjoint-optimized metasurfaces for compact mode-division multiplexing,” ACS photonics9, 929–937 (2022)

  13. [21]

    Fiber optical parametric amplifiers in optical communication systems,

    M. E. Marhic, P. A. Andrekson, P. Petropoulos,et al., “Fiber optical parametric amplifiers in optical communication systems,” Laser & photonics reviews9, 50–74 (2015)

  14. [22]

    Spatial mode control based on photonic lanterns,

    Y. Lu, W. Liu, Z. Chen,et al., “Spatial mode control based on photonic lanterns,” Opt. Express29, 41788–41797 (2021)

  15. [23]

    All-optical wavelength conversion for mode division multiplexed superchannels,

    J. Gong, J. Xu, M. Luo,et al., “All-optical wavelength conversion for mode division multiplexed superchannels,” Opt. express24, 8926–8939 (2016)

  16. [24]

    Design and characterization of a self-matching photonic lantern for all few-mode fiber laser systems,

    L. Zhao, W. Li, Y. Chen,et al., “Design and characterization of a self-matching photonic lantern for all few-mode fiber laser systems,” Opt. Express32, 16799–16808 (2024)

  17. [25]

    Metasurface-integrated pattern-preserved fiber mode separator,

    H. Xu, T. Li, G. Gao,et al., “Metasurface-integrated pattern-preserved fiber mode separator,” Adv. Funct. Mater.35, 2505081 (2025)

  18. [26]

    Terahertz pulse shaping using diffractive surfaces,

    M. Veli, D. Mengu, N. T. Yardimci,et al., “Terahertz pulse shaping using diffractive surfaces,” Nat. Commun.12, 37 (2021)

  19. [27]

    Spatiotemporal diffractive deep neural networks,

    J. Zhou, H. Pu, and J. Yan, “Spatiotemporal diffractive deep neural networks,” Opt. Express32, 1864–1877 (2024)

  20. [28]

    Space-time projection enabled ultrafast all-optical diffractive neural network,

    Z. Zhang, F. Feng, J. Gan,et al., “Space-time projection enabled ultrafast all-optical diffractive neural network,” Laser & Photonics Rev.18, 2301367 (2024)

  21. [29]

    Recomposable layered metasurfaces for wavelength-multiplexed optical encryption via modular diffractive deep neural networks,

    C. Park, Y. Jeon, S. Lee,et al., “Recomposable layered metasurfaces for wavelength-multiplexed optical encryption via modular diffractive deep neural networks,” Adv. Funct. Mater.36, e23309 (2026)

  22. [30]

    Polarization-selective unidirectional and bidirectional diffractive neural networks for information security and sharing,

    Z. Guo, Z. Tan, X. Zang,et al., “Polarization-selective unidirectional and bidirectional diffractive neural networks for information security and sharing,” Nat. Commun.16, 4492 (2025)

  23. [31]

    Diffractive deep neural network motivating high-performance optical information encryption,

    Y. Lei, J. Tian, B. Merabet,et al., “Diffractive deep neural network motivating high-performance optical information encryption,” Opt. Lett.50, 3469–3472 (2025)

  24. [32]

    High-speedall-opticalneuralnetworksempoweredspatiotemporalmodemultiplexing,

    F.Feng,X.Li,Z.Zhang,et al.,“High-speedall-opticalneuralnetworksempoweredspatiotemporalmodemultiplexing,” Light. Sci. & Appl.14, 342 (2025)

  25. [33]

    Terabit-scale orbital angular momentum mode division multiplexing in fibers,

    N. Bozinovic, Y. Yue, Y. Ren,et al., “Terabit-scale orbital angular momentum mode division multiplexing in fibers,” science340, 1545–1548 (2013)

  26. [34]

    High-capacitymillimetre-wavecommunicationswithorbitalangularmomentum multiplexing,

    Y.Yan,G.Xie,M.P.Lavery,et al.,“High-capacitymillimetre-wavecommunicationswithorbitalangularmomentum multiplexing,” Nat. communications5, 4876 (2014)

  27. [35]

    Huygens–fresnel principle in the near field,

    F. Depasse, M. Paesler, D. Courjon, and J. Vigoureux, “Huygens–fresnel principle in the near field,” Opt. letters20, 234–236 (1995)

  28. [36]

    Introduction to fourier optics,

    J. W. Goodman and M. E. Cox, “Introduction to fourier optics,” (1969)

  29. [37]

    Backpropagation and stochastic gradient descent method,

    S.-i. Amari, “Backpropagation and stochastic gradient descent method,” Neurocomputing5, 185–196 (1993)

  30. [38]

    Recent advances in stochastic gradient descent in deep learning,

    Y. Tian, Y. Zhang, and H. Zhang, “Recent advances in stochastic gradient descent in deep learning,” Mathematics11, 682 (2023)

  31. [39]

    Rayleigh-sommerfeld diffraction on a subwavelength scale: Theories and a resolution criterion,

    Y.-m. Gao, J.-p. Xie, and X.-y. Yu, “Rayleigh-sommerfeld diffraction on a subwavelength scale: Theories and a resolution criterion,” Phys. Rev. A99, 023814 (2019)

  32. [40]

    Optical implementation of 2× 2 universal unitary matrix transformations,

    A. Macho-Ortiz, D. Pérez-López, and J. Capmany, “Optical implementation of 2× 2 universal unitary matrix transformations,” Laser & Photonics Rev.15, 2000473 (2021)

  33. [41]

    Experimental realization of any discrete unitary operator,

    M. Reck, A. Zeilinger, H. J. Bernstein, and P. Bertani, “Experimental realization of any discrete unitary operator,” Phys. review letters73, 58 (1994)

  34. [42]

    Whatspatiallightmodulatorscandoforopticalmicroscopy,

    C.Maurer,A.Jesacher,S.Bernet,andM.Ritsch-Marte,“Whatspatiallightmodulatorscandoforopticalmicroscopy,” Laser & Photonics Rev.5, 81–101 (2011)

  35. [43]

    Lcos spatial light modulators: trends and applications,

    G. Lazarev, A. Hermerschmidt, S. Krüger, and S. Osten, “Lcos spatial light modulators: trends and applications,” Opt. Imaging Metrol. Adv. Technol. pp. 1–29 (2012)

  36. [44]

    Multi-plane light conversion: a practical tutorial,

    Y. Zhang and N. K. Fontaine, “Multi-plane light conversion: a practical tutorial,” arXiv preprint arXiv:2304.11323 (2023)

  37. [45]

    Aneurometasurfacemode-routerforfibermodedemultiplexingandcommunications,

    Y.Zhao,H.Wang,Z.Li,et al.,“Aneurometasurfacemode-routerforfibermodedemultiplexingandcommunications,” Engineering45, 88–96 (2025)

  38. [46]

    All-optical image transportation through a multimode fibre using a miniaturized diffractive neural network on the distal facet,

    H. Yu, Z. Huang, S. Lamon,et al., “All-optical image transportation through a multimode fibre using a miniaturized diffractive neural network on the distal facet,” Nat. Photonics19, 486–493 (2025)

  39. [47]

    Optical fiber meta-tips,

    M. Principe, M. Consales, A. Micco,et al., “Optical fiber meta-tips,” Light. Sci. & Appl.6, e16226–e16226 (2017)

  40. [48]

    Tailored micro-optical freeform holograms for integrated complex beam shaping,

    S. Schmidt, S. Thiele, A. Toulouse,et al., “Tailored micro-optical freeform holograms for integrated complex beam shaping,” Optica7, 1279–1286 (2020)

  41. [49]

    Optical secret sharing with cascaded metasurface holography,

    P. Georgi, Q. Wei, B. Sain,et al., “Optical secret sharing with cascaded metasurface holography,” Sci. Adv.7, eabf9718 (2021)

  42. [50]

    Cascaded metasurfaces for high-purity vortex generation,

    F. Mei, G. Qu, X. Sha,et al., “Cascaded metasurfaces for high-purity vortex generation,” Nat. Commun.14, 6410 (2023)

Pith tools

Reviewed June 29, 2026 · model on record in the stance chip above.