Pith. sign in

REVIEW 3 major objections 7 minor 57 references

Cascaded liquid-crystal beam steering lets one high-resolution camera cover a wide field by electrically swapping sub-views, delivering an 8.6-fold spatial-bandwidth gain without mechanical motion.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗

T0 review · grok-4.5

2026-07-31 05:57 UTC pith:HULT3U25

load-bearing objection Solid built systems paper: large-aperture cascaded LC steering plus a practical oblique-incidence calibration that actually delivers a measured SBP gain and tracking demo—not a new physics mechanism. the 3 major comments →

arxiv 2607.28482 v1 pith:HULT3U25 submitted 2026-07-30 physics.optics

Large-Aperture All-Solid-State Cascaded Liquid-Crystal Beam Steering for High-Resolution Wide-Field Imaging

Chenxi Liu , Yongxiang Qu , Xiaoxin Wang , Leixin Meng , Xiaohua Feng , Qidong Wang , Guohao Zhang , Xuejun Zhang
show 5 more authors
Yubing Han Qing Yang Xu Liu Mingwei Tang Kai Wei
This is my paper
classification physics.optics
keywords liquid crystal devicespolarization gratingall-solid-state beam steeringhigh-resolution wide-field imagingspatial-bandwidth producttarget trackingPancharatnam-Berry phasecascaded LCWP-LCPBG
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

Wide-field cameras blur fine detail because they spread a fixed number of pixels over a large angle; telephotos keep detail but see only a narrow patch. This paper shows that a stack of large-aperture liquid-crystal waveplates and polarization gratings can electrically steer successive narrow high-resolution patches into the same camera, then stitch them into a wide composite. A voltage-prediction model plus a hierarchical search calibrates the stack under oblique incidence about ten times faster than brute-force methods, keeping diffraction efficiency above 60 percent across a roughly 30°×30° grid. On the same detector the reconstructed 34.7° field yields an 8.6-fold spatial-bandwidth-product increase over a commercial wide-FOV lens, and selective steering tracks moving vehicles with enough detail for license-plate recognition. The result is a compact, vibration-free route to high-resolution wide-field imaging.

Core claim

A calibrated four-layer cascaded liquid-crystal beam-steering (CaLiBS) module steers sub-fields of view over ±15.15°×±15.15° at 2° steps with diffraction efficiency above 60 percent; sequential acquisition and stitching reconstruct a 34.7°×34.7° composite whose measured spatial-bandwidth product is 8.6 times that of a single-shot commercial wide-FOV camera using the identical detector.

What carries the argument

CaLiBS: cascaded liquid-crystal waveplates paired with liquid-crystal Pancharatnam–Berry phase gratings, driven by an angle-dependent voltage-prediction model and hierarchical one-dimensional peak search that turns multi-layer oblique-incidence calibration into independent channel-wise optimizations.

Load-bearing premise

After steering, every off-axis sub-field is imaged with essentially the same high-quality near-axis blur and transfer function as the telephoto channel, so local resolution can simply be reused across many patches.

What would settle it

Measure the point-spread function and MTF50 of the full cascaded stack at the extreme steered angles (e.g., ±15°) under the same telephoto; if those off-axis steered MTFs fall to the level of the commercial wide-FOV lens, the claimed 8.6-fold SBP gain disappears.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • A single narrow-FOV telephoto plus CaLiBS can replace multi-camera arrays for wide-area surveillance while keeping local detail.
  • Selective sub-FOV switching enables high-resolution tracking of moving targets without scanning the entire scene each frame.
  • Adding more LCWP–LCPBG layers expands the angular grid exponentially without enlarging the detector or aperture stop.
  • All-solid-state electrical steering removes mechanical inertia, vibration, and wear from beam-steering imagers.
  • The same calibration and crosstalk-unmixing pipeline can be reused for other large-aperture cascaded polarization-grating systems.

Where Pith is reading between the lines

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

  • Fall time (~44 ms even with overdrive) still limits full-field frame rate; faster LC materials or dual-cell schemes would be needed before video-rate panoramic scanning becomes practical.
  • The pairwise diagonal crosstalk model will not scale cleanly once more layers introduce multi-path leakage; a full mixing-matrix unmixing step is the natural next algorithmic piece.
  • Because the aperture is already 50 mm and fill factor near 100 percent, the architecture is a direct candidate for vehicle-mounted or drone remote-sensing payloads where mechanical gimbals are undesirable.

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 / 7 minor

Summary. The manuscript presents an all-solid-state cascaded liquid-crystal beam-steering (CaLiBS) imager that pairs large-aperture (50 mm) LC waveplates with LC Pancharatnam–Berry gratings (1°/2°/4°/8° per axis) to steer sub-FOVs of a narrow-FOV telephoto/InGaAs camera over a ±15.15°×±15.15° lattice at 2° steps. An angle-dependent LCWP voltage model plus a hierarchical one-dimensional search calibrates eight drive channels ~10× faster than exhaustive scanning, yielding diffraction efficiency above 60% on the 16×16 grid. Sequential acquisition, pairwise diagonal crosstalk unmixing, and stitching produce a 34.7°×34.7° composite claimed to give an 8.6-fold spatial-bandwidth-product gain versus a commercial wide-FOV lens on the same detector; a selective sub-FOV mode is also shown for vehicle tracking and license-plate recognition. Overdrive reduces LCWP rise/fall times to 0.83 ms / 44 ms.

Significance. If the quantitative claims hold, the work is a meaningful step for solid-state, large-aperture beam steering in imaging: it combines aperture scale that is difficult for OPAs/metasurfaces, a practical calibration path for multi-layer oblique-incidence cascades, and task-adaptive WFHR/HSHR modes without mechanical inertia. Strengths that should be credited include the matched calculated/measured half- and full-wave voltage maps (Fig. 2b–e), the separable-channel hierarchical search with a clear evaluation-count comparison (~15 h → ~1.5 h), single-device efficiency and wavefront metrics, the explicit linear unmixing model for diagonal crosstalk (Eqs. 9–12), and side-by-side building/checkerboard/MTF and outdoor tracking demos against a same-sensor wide-FOV baseline. The platform is relevant to remote sensing, traffic monitoring, and related wide-area high-resolution applications.

major comments (3)
  1. [§2.3, Fig. 4; SI Note 3 Eqs. 6–8; Fig. 2h,i; SI Note 2] The headline 8.6× SBP claim (abstract; §2.3: SBP2D ≈ 2.4×10^4 vs ≈ 2.8×10^3) and the SI Note 3 model (Eqs. 6–8: H_scan(f; s∈Ω_m)≈H_0(f), so SBP_scan∝M|Ω0||B0|) require that usable local bandwidth B0 is essentially preserved for every calibrated steering state. Supporting MTF50/MTF20 data are shown at only three field angles (Fig. 4o–w), cascaded PSFs are a sparse sample after steer-to-axis (Fig. S2), and full-aperture cascaded WFE versus steering state is not budgeted—only single-device RMS at 632.8 nm (LCWP ~λ/20, LCPBG ~λ/9). Diffraction efficiency already varies over the 16×16 lattice (Fig. 2h,i, floor ~60%), and Note 8 documents state-dependent multi-order leakage. Please report MTF (or equivalent edge/contrast metrics) on a denser subset of the grid, including large-deflection and low-efficiency corners, and state how the averaged MTF50=0.310 and the 8.6× factor change if worse stat
  2. [SI Note 2; §2.1 wavefront paragraph; SI Note 3] Wavefront and PSF characterization used for imaging quality is incomplete relative to the cascaded imaging claim. Single-device HS data and a few steered-to-axis PSFs (SI Note 2, Fig. S2) do not establish residual aberration, field curvature, or contrast loss after four layers under the actual 1550 nm imaging path and the full set of incidence angles on intermediate LCWPs. A brief cascaded WFE/Strehl or through-focus metric versus representative steering states (or an explicit error budget linking substrate figure, LC thickness, and multi-order leakage to MTF) is needed to underwrite the assumption that off-axis sub-FOVs truly reuse the telephoto near-axis OTF.
  3. [§2.4, §2.5; SI Note 10; Fig. 5] In HSHR tracking mode (§2.4–2.5), the overdrive fall time remains 44 ms (rise 0.83 ms; SI Note 10). For multi-boundary switches and any need to dwell for exposure plus unmixing stability, this sets a practical ceiling on track update rate that is not quantified against vehicle angular rates in the intersection experiment (Fig. 5). Please state end-to-end sub-FOV switch latency (voltage settle + exposure + optional unmix) and whether fall-limited transitions caused missed frames or forced predictive coasting; if 44 ms is accepted, tone down unqualified “high-speed” language relative to mechanical/MEMS alternatives where appropriate.
minor comments (7)
  1. [Abstract; §2.1; §2.3] Abstract and §2.3 give composite FOV as 34.7°×34.7° while the steering lattice is quoted as 30.3°×30.3° (±15.15°); briefly explain the extra margin (sub-FOV half-width, stitching overlap, or distortion correction) so the two numbers are reconcilable.
  2. [SI Note 2; §2.1] Operating wavelength is 1550 nm (InGaAs, laser calibration) while WFE is reported at 632.8 nm. Note the wavelength mismatch when arguing diffraction-limited imaging quality, or scale/estimate WFE at 1550 nm.
  3. [§1 Eq. (1); §2.1 Eqs. (3)–(4)] Eq. (1) and several SBP/efficiency symbols are corrupted by repeated characters (e.g., 𝑆𝑆𝑆𝑆𝑆𝑆, 𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑥𝑥) in the main text; clean notation for SBP, sin θ, and related quantities.
  4. [§2.3 Eqs. (9)–(12); Fig. 3] Fig. 3(c,f) crosstalk examples are convincing, but report typical ranges of mixing coefficients a, b and residual artifact level after unmixing (e.g., gradient correlation or ghost contrast) so reproducibility is clearer.
  5. [§2.3] Polarizer at the input (§2.3) discards roughly half the unpolarized scene light; a short note on throughput/SNR impact versus the wide-FOV baseline would help practical comparison.
  6. [SI Table S2; §2.1] Table S2 header “Angle Deflection (°)” lists ±15 rather than the ±15.15° used in the main text from non-paraxial cascade; align values or footnote the small-angle vs exact sum.
  7. [Abstract; §1; SI Note 1] Minor prose: “beam-steering devices but is currently limited” (abstract/intro agreement); “dismissing mechanical scanning” → “without”; ensure LCPBG/LCPG acronym consistency between main text and SI Note 1.

Circularity Check

0 steps flagged

No significant circularity: headline claims rest on external power-meter, turntable, camera, and commercial-baseline measurements, not on quantities defined to equal the result.

full rationale

The load-bearing results—diffraction efficiency >60% over the 16×16 grid, the 34.7°×34.7° composite, the 8.6× SBP2D ratio (2.4×10^4 vs 2.8×10^3), and license-plate recognition confidences—are obtained from independent instruments (power meter, 2D turntable, InGaAs camera images, commercial wide-FOV lens on the same detector, YOLOv8 scores). The oblique-incidence voltage model (SI Note 4) supplies only initial guesses that are then refined by hierarchical peak search on measured power; the paper reports RMSE of predicted vs optimized voltages rather than treating the model output as the final efficiency. The SBP scaling argument (SI Note 3, Eqs. 6–10) is a conceptual reuse-of-B0 framework; the numerical 8.6× factor is computed from measured FOV and MTF50, not forced by the model. Crosstalk unmixing estimates mixing coefficients from image-gradient decorrelation on captured pairs, then applies the inverse—again data-driven, not definitional. Self-citations (prior Tang/Liu imaging work) appear only as application context and do not underwrite uniqueness or forbid alternatives. No step reduces a claimed prediction to its fitted input by construction.

Axiom & Free-Parameter Ledger

6 free parameters · 7 axioms · 1 invented entities

Experimental systems paper. Load-bearing background is standard LC birefringence, PB grating diffraction of circular polarization, and etendue/SBP accounting. Engineering choices (layer angles, cell gap, overdrive levels, unmixing form, MTF threshold for SBP) are free or design parameters. No new physical entities.

free parameters (6)
  • LCPBG diffraction angle set {1°, 2°, 4°, 8°} per axis = 1°, 2°, 4°, 8°
    Design choice fixing the 16×16 steering lattice and ~2° step; not derived from a uniqueness principle.
  • LCWP cell gap and LC mixture (d≈6.8 μm, LC-BYE7 Δn=0.31) = 6.8 μm, Δn=0.31
    Chosen to provide sufficient retardation range at the operating wavelength; sets speed–modulation tradeoff.
  • Per-state LCWP drive voltages (8 channels × 256 states) = state-dependent; RMSE to prediction mostly <0.1 V
    Optimized experimentally from model initialization via hierarchical power maximization; headline efficiency depends on these fitted operating points.
  • Crosstalk mixing coefficients a, b per diagonal pair = per-pair grid search (values not tabulated in main text)
    Estimated by minimizing gradient correlation of unmixed images; unmixing quality and residual artifacts depend on these fits.
  • MTF usability threshold τ and MTF50 averaging for SBP = MTF50 averages 0.096 vs 0.310 cycles/mm
    SBP2D uses average MTF50 across sampled fields; choice of cutoff definition and field sampling affects the 8.6× ratio.
  • Overdrive pulse levels (e.g. 15 V then 5 V; 0 V then 1.5 V) = 15 V / 0 V overdrive as reported in SI Note 10
    Hand-chosen drive scheme for quoted 0.83 ms / 44 ms edges; switching-speed claim depends on this protocol.
axioms (7)
  • domain assumption LCPBG diffracts opposite circular polarizations into conjugate ±1 orders with high efficiency when retardation is half-wave; LCWP selects handedness (full-wave vs half-wave).
    Foundation of each binary steering unit; SI Note 1 and main §2.1.
  • domain assumption Total steering angle is the signed sum of selected layer diffraction angles (binary order choices), uniquely determining the path and per-layer incidence angles.
    Eqs. (2)–(4) and Table S2; enables voltage prediction from path geometry.
  • domain assumption System efficiency factors approximately as a product of per-layer polarization-conversion × diffraction efficiencies, so voltages can be optimized channel-wise.
    Eq. (8) and hierarchical search justification in §2.2; approximate under residual multi-order leakage.
  • domain assumption Oblique-incidence LCWP retardation follows uniaxial path-length and ne(ψ) model with voltage-to-tilt map, yielding angle-dependent half-/full-wave voltages.
    SI Note 4 Eqs. (11)–(15); validated by measured vs calculated voltage maps.
  • ad hoc to paper After steering, sub-FOVs share approximately the telephoto near-axis OTF, so SBP accumulates as M times single-channel support.
    SI Note 3 Eqs. (6)–(10); central to interpreting 8.6× SBP gain as bandwidth reuse rather than one wide aberrated channel.
  • ad hoc to paper Dominant crosstalk is linear pairwise mixing between centrosymmetric (diagonal) sub-FOVs from imperfect first-layer conversion.
    §2.3 Eqs. (9)–(12) and SI Note 8; closed-form unmixing assumes 1−ab≠0 and gradient independence.
  • standard math Standard Fourier optics SBP/etendue tradeoff: fixed aperture and detector cannot simultaneously maximize FOV and local sampling without scanning or multi-aperture.
    Introduction Eq. (1) and surrounding etendue discussion; motivates architecture.
invented entities (1)
  • CaLiBS module (named cascaded LCWP–LCPBG imaging steerer) independent evidence
    purpose: Package the cascaded binary PB-grating stack plus calibration as an imaging beam-steering front-end for dual WFHR/HSHR modes.
    Naming/system integration of known LC components; not a new physical particle or force. Independent evidence is the fabricated prototype measurements.

pith-pipeline@v1.2.0-daily-grok45 · 31269 in / 4667 out tokens · 104719 ms · 2026-07-31T05:57:43.944664+00:00 · methodology

0 comments
read the original abstract

High-resolution wide-field imaging is essential for applications requiring simultaneous global coverage and local detail, yet conventional approaches face a fundamental trade-off: wide-FOV cameras sacrifice spatial sampling density by distributing finite detector pixels over a broad angular range, while telephoto systems resolve fine features at the cost of scene coverage. Beam-steering devices can mitigate this trade-off but are currently limited in achieving simultaneously all-solid-state, large aperture, and high-speed operation. Here, we report an all-solid-state large-aperture cascaded liquid-crystal beam-steering (CaLiBS) imaging system that extends the effective angular range of a high-resolution narrow-FOV camera by electrically steering sub-FOVs. The CaLiBS module comprises cascaded liquid crystal waveplates and liquid crystal Pancharatnam-Berry phase gratings; a theoretical voltage-prediction model with a hierarchical search algorithm enables efficient calibration under oblique incidence and 10 times faster calibration speed compared with conventional methods. The calibrated system addresses sub-FOVs across 30.3{\deg} * 30.3{\deg} at 2{\deg} intervals with diffraction efficiency above 60%. Sequential sub-FOV acquisition reconstructs a 34.7 * 34.7 composite image, an 8.6-fold enhancement in spatial-bandwidth product over a single-shot wide-FOV camera using the same detector. Combined with object tracking methods, sub-FOV switching further enables high-resolution tracking of moving vehicles within the wide-area scene. This cascaded LC architecture offers a scalable pathway toward compact, vibration-free, and high-resolution wide-field observation.

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

57 extracted references · 7 canonical work pages · 1 internal anchor

  1. [1]

    Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution

    Fan, J., Suo, J., Wu, J., Xie, H., Shen, Y ., et al. Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution. Nat. Photonics 13, 809–816 (2019)

    2019

  2. [2]

    & Yang, C

    Zheng, G., Shen, C., Jiang, S., Song, P. & Yang, C. Concept, implementations and applications of Fourier ptychography. Nat. Rev. Phys. 3, 207–223 (2021)

    2021

  3. [3]

    High‐Refractive‐Index Chip with Periodically Fine‐Tuning Gratings for Tunable Virtual‐Wavevector Spatial Frequency Shift Universal Super‐Resolution Imaging

    Tang, M., Han, Y ., Ye, D., Zhang, Q., Pang, C., et al. High‐Refractive‐Index Chip with Periodically Fine‐Tuning Gratings for Tunable Virtual‐Wavevector Spatial Frequency Shift Universal Super‐Resolution Imaging. Adv. Sci. 9, 2103835 (2022)

    2022

  4. [4]

    Fast-zoom and high-resolution sparse compound-eye camera based on dual-end collaborative optimization

    Zheng, Y ., Zhang, H.-R., Li, X.-W., Zhao, Y .-R., Li, Z.-S., et al. Fast-zoom and high-resolution sparse compound-eye camera based on dual-end collaborative optimization. Opto-Electron. Adv. 8, 240285–12 (2025)

    2025

  5. [5]

    & Jóźków, G

    Toth, C. & Jóźków, G. Remote sensing platforms and sensors: A survey. ISPRS J. Photogramm. Remote Sens. 115, 22–36 (2016)

    2016

  6. [6]

    J., Dai, Q., et al

    Yuan, X., Ji, M., Wu, J., Brady, D. J., Dai, Q., et al. A modular hierarchical array camera. Light Sci. Appl. 10, 37 (2021)

    2021

  7. [7]

    Hybrid Meta-Optics Enable Large Spatial- Spectral-Bandwidth Thermal Imaging for Augmented Reality Application

    Tang, M., Xing, Y ., Liu, C., Zhang, G., Zhu, Z., et al. Hybrid Meta-Optics Enable Large Spatial- Spectral-Bandwidth Thermal Imaging for Augmented Reality Application. Laser Photonics Rev. e71431 (2026) doi:10.1002/lpor.71431

    work page doi:10.1002/lpor.71431 2026

  8. [8]

    2D Wide Field-of-View (FOV) Metalens Focal Plane Array (FPA) based Silicon Photonic Beam Steering for Optical Wireless Communication (OWC)

    Kuo, P.-C., Hsu, C.-Y ., Hsieh, P.-Y ., Lin, Y .-Z., Chang, Y .-C., et al. 2D Wide Field-of-View (FOV) Metalens Focal Plane Array (FPA) based Silicon Photonic Beam Steering for Optical Wireless Communication (OWC). in Optical Fiber Communication Conference (OFC) 2025 Th2A.41 (Optica Publishing Group, San Francisco, California, 2025); doi:10.1364/OFC.2025.Th2A.41

    work page doi:10.1364/ofc.2025.th2a.41 2025

  9. [9]

    Cox, I. J. & Sheppard, C. J. R. Information capacity and resolution in an optical system. J. Opt. Soc. Am. A 3, 1152 (1986)

    1986

  10. [10]

    Far‐Field Superresolution Imaging via Spatial Frequency Modulation

    Tang, M., Liu, X., Wen, Z., Lin, F., Meng, C., et al. Far‐Field Superresolution Imaging via Spatial Frequency Modulation. Laser Photonics Rev. 14, 1900011 (2020)

    2020

  11. [11]

    & Badon, A

    Recher, G., Nassoy, P. & Badon, A. Remote scanning for ultra -large field of view in wide -field microscopy and full-field OCT. Biomed. Opt. Express 11, 2578 (2020)

    2020

  12. [12]

    Calibration of multiple cameras for large -scale experiments using a freely moving calibration target

    Muller, K. Calibration of multiple cameras for large -scale experiments using a freely moving calibration target. Exp. Fluids (2020)

    2020

  13. [13]

    A., Cocker, E

    Flusberg, B. A., Cocker, E. D., Piyawattanametha, W., Jung, J. C., Cheung, E. L. M., et al. Fiber- optic fluorescence imaging. Nat. Methods 2, 941–950 (2005)

    2005

  14. [14]

    Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System

    Heng, L., Choi, B., Cui, Z., Geppe rt, M., Hu, S., et al. Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi -Camera System. (2019) doi:10.48550/arXiv.1809.05477

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1809.05477 2019

  15. [15]

    & Yao, Z

    Yu, Z., Jiang, L. & Yao, Z. Analysis of Spatial Vibration on Scanning Mirror Imaging Based on Frequency Filtering. IEEE Access 9, 129594–129604 (2021)

    2021

  16. [16]

    Super-resolution imaging and field of view extension using a single camera with Risley prisms

    Wang, Z., Cao, J., Hao, Q., Zhang, F., Cheng, Y ., et al. Super-resolution imaging and field of view extension using a single camera with Risley prisms. Rev. Sci. Instrum. 90, 033701 (2019)

    2019

  17. [17]

    P., Jiang, X., Kuchenbecker, J

    Pandiyan, V . P., Jiang, X., Kuchenbecker, J. A. & Sabesan, R. Reflective mirror-based line-scan adaptive optics OCT for imaging retinal structure and function. Biomed. Opt. Express 12, 5865 (2021)

    2021

  18. [18]

    & Xie, H

    Wang, D., Watkins, C. & Xie, H. MEMS Mirrors for LiDAR: A Review. Micromachines 11, 456 (2020)

    2020

  19. [19]

    A chip-scale image sensor integrated with a microelectromechanical system actuator

    Xie, R., Liu, X., Zhan, H., Xuan, G., Zhang, F., et al. A chip-scale image sensor integrated with a microelectromechanical system actuator. Nat. Electron. 9, 544–554 (2026)

    2026

  20. [20]

    2D broadband beamsteering with large-scale MEMS optical phased array

    Wang, Y ., Zhou, G., Zhang, X., Kwon, K., Blanche, P.-A., et al. 2D broadband beamsteering with large-scale MEMS optical phased array. Optica 6, 557–562 (2019)

    2019

  21. [21]

    & Duan, B

    Foshee, J., Tang, S., Tang, Y ., Wang, X. & Duan, B. A novel high- speed electro -optic beam scanner based on KTN crystals. in (eds. Majumdar, A. K. & Davis, C. C.) 670908 (San Diego, CA, 2007); doi:10.1117/12.731286

    work page doi:10.1117/12.731286 2007

  22. [22]

    & Kobayashi, J

    Sakamoto, T., Toyoda, S., Ueno, M. & Kobayashi, J. High- speed optical beam scanning using KTN crystal. in IEEE CPMT Symposium Japan 2014 173–176 (IEEE, Kyoto, Japan, 2014); doi:10.1109/ICSJ.2014.7009638

    arXiv 2014

  23. [23]

    Sun, J., Timurdogan, E., Yaacobi, A., Hosseini, E. S. & Watts, M. R. Large -scale nanophotonic phased array. Nature 493, 195–199 (2013)

    2013

  24. [24]

    Non-redundant optical phased array

    Fukui, T., Tanomura, R., Komatsu, K., Yamashita, D., Takahashi, S., et al. Non-redundant optical phased array. Optica 8, 1350 (2021)

    2021

  25. [25]

    Coherent Synthesis of Silicon Optical Phased Arrays toward Enhanced Power and Aperture

    Yan, X., Li, F., Wang, H., Feng, X., Xie, W., et al. Coherent Synthesis of Silicon Optical Phased Arrays toward Enhanced Power and Aperture. ACS Photonics 13, 373–384 (2026)

    2026

  26. [26]

    Li, B., Lin, Q. & Li, M. Frequency–angular resolving LiDAR using chip- scale acousto -optic beam steering. Nature 620, 316–322 (2023)

    2023

  27. [27]

    Römer, G. R. B. E. & Bechtold, P. Electro-optic and Acousto-optic Laser Beam Scanners. Phys. Procedia 56, 29–39 (2014)

    2014

  28. [28]

    Actively Tunable Metalens with Varying Fields of View

    Heo, H., Choi, M., Kang, H., Oh, K.-S., Yoon, S., et al. Actively Tunable Metalens with Varying Fields of View. Nano Lett. (2026) doi:10.1021/acs.nanolett.6c00702

    work page doi:10.1021/acs.nanolett.6c00702 2026

  29. [29]

    & Chu, D

    Zhang, Z., You, Z. & Chu, D. Fundamentals of phase -only liquid crystal on silicon (LCOS) devices. Light Sci. Appl. 3, e213–e213 (2014)

    2014

  30. [30]

    A., Aieta, F., Tetienne, J.- P., et al

    Yu, N., Genevet, P., Kats, M. A., Aieta, F., Tetienne, J.- P., et al. Light Propagation with Phase Discontinuities: Generalized Laws of Reflection and Refraction. Science 334, 333–337 (2011)

    2011

  31. [31]

    & Escuti, M

    Kim, J., Oh, C., Serati, S. & Escuti, M. J. Wide -angle, nonmechanical beam steering with high throughput utilizing polarization gratings. Appl. Opt. 50, 2636–2639 (2011)

    2011

  32. [32]

    & Escuti, M

    Oh, C. & Escuti, M. J. Achromatic diffraction from polarization gratings with high efficiency. Opt. Lett. 33, 2287 (2008)

    2008

  33. [33]

    Enabling multiple access free space optical communications through solid state beam directing

    Jensen, S., Smyers, W., DeJarnette, D., Wolenski, C., McKnight, D., et al. Enabling multiple access free space optical communications through solid state beam directing. in Laser Technology for Defense and Security XX (eds. Zediker, M. S. & Dubinskii, M.) 8 (SPIE, Orlando, United States, 2025); doi:10.1117/12.3053470

    work page doi:10.1117/12.3053470 2025

  34. [34]

    Multi-mode beam scanning enabled by cascaded rotating liquid crystal polarization gratings for 3D imaging LiDAR

    Du, X., Guo, Y ., Zhang, Q., Li, X., Pu, M., et al. Multi-mode beam scanning enabled by cascaded rotating liquid crystal polarization gratings for 3D imaging LiDAR. in 11th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2025) (eds. Luo, X., Fotakis, C., Sugioka, K. & Teng, J.) 74 (SPIE, Chengdu, China, 2026); do...

    work page doi:10.1117/12.3091609 2025

  35. [35]

    Towards an ultrafast 3D imaging scanning LiDAR system: a review

    Li, Z., Han, Y ., Wu, L., Zang, Z., Dai, M., et al. Towards an ultrafast 3D imaging scanning LiDAR system: a review. Photonics Res. 12, 1709–1729 (2024)

    2024

  36. [36]

    Tunable liquid crystal grating based holographic 3D display system with wide viewing angle and large size

    L i , Y.-L., Li, N.- N., Wang, D., Chu, F., Lee, S.- D., et al. Tunable liquid crystal grating based holographic 3D display system with wide viewing angle and large size. Light Sci. Appl. 11, 188 (2022)

    2022

  37. [37]

    Integrated Multifunctional Computational Imaging Platform Using Cascaded Electrically Tunable Liquid Crystal Elements

    Wu, X., Jiang, X., Xie, Y ., Zhou, Z., Zhang, X., et al. Integrated Multifunctional Computational Imaging Platform Using Cascaded Electrically Tunable Liquid Crystal Elements. Laser Photonics Rev. 20, e02040 (2026)

    2026

  38. [38]

    Two-dimension high efficiency beam steering based on liquid crystal polarization gratings

    Li, Z., Yu, B., Gong, J., Liu, Y ., Fan, L., et al. Two-dimension high efficiency beam steering based on liquid crystal polarization gratings. Opt. Express 33, 21425 (2025)

    2025

  39. [39]

    Non-Mechanical Beam Steering with Polarization Gratings: A Review

    Hoy, C., Stockley, J., Shane, J., Kluttz, K., McKnight, D., et al. Non-Mechanical Beam Steering with Polarization Gratings: A Review. Crystals 11, (2021)

    2021

  40. [40]

    W., Love, G

    Thalhammer, G., Bowman, R. W., Love, G. D., Padgett, M. J. & Ritsch- Marte, M. Speeding up liquid crystal SLMs using overdrive with phase change reduction. Opt. Express 21, 1779–1797 (2013)

    2013

  41. [41]

    Electrically switchable 2(N)-channel wave-front control for certain functionalities with N cascaded polarization -dependent metasurfaces

    Ma, Z., Tian, T., Liao, Y ., Feng, X., Li, Y ., et al. Electrically switchable 2(N)-channel wave-front control for certain functionalities with N cascaded polarization -dependent metasurfaces. Nat Commun 15, 8370 (2024)

    2024

  42. [42]

    Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells

    Pradeep, A., Mur, U., Ma, J., Spiller, N., Jin, Y ., et al. Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells. Adv. Funct. Mater. 35, e12550 (2025)

    2025

  43. [43]

    J., Awan, K

    Taghavi, I., Esmaeeli, O., Chowdhury, S. J., Awan, K. M., Hammood, M., et al. GHz-rate optical phase shift in ligh t-matter interaction -engineered, silicon -ferroelectric nematic liquid crystals. Nat. Commun. 16, 8902 (2025)

    2025

  44. [44]

    Phase- only transmissive spatial light modulator based on tunable dielectric metasurface

    Li, S.-Q., Xu, X., Maruthiyodan Veetil, R., Valuckas, V ., Paniagua-Domínguez, R., et al. Phase- only transmissive spatial light modulator based on tunable dielectric metasurface. Science 364, 1087–1090 (2019)

    2019

  45. [45]

    & Cipparrone, G

    Provenzano, C., Pagliusi, P. & Cipparrone, G. Highly efficient liquid crystal based diffraction grating induced by polarization holograms at the aligning surfaces. Appl. Phys. Lett. 89, 121105 (2006). Acknowledgements This work was supported in part by the National Natural Science Foundation of China (Nos. 62405280 and 62431025), Leading Innovative and En...

    2006

  46. [46]

    First, the electro -optic response of each liquid crystal wave plate (LCWP) is calibrated under oblique incidence

    Calibration of half -wave and full -wave voltages for individual LCWPs. First, the electro -optic response of each liquid crystal wave plate (LCWP) is calibrated under oblique incidence. This involves measuring the half-wave voltage and full-wave voltage as functions of the incident angle in both the longitude and latitude directions. This data set forms ...

  47. [47]

    Based on the desired output deflection angle, the propagation path of the light beam through the entire cascaded system is determined

    Confirmation of the light propagation path. Based on the desired output deflection angle, the propagation path of the light beam through the entire cascaded system is determined. This step involves calculating the incident angle on each LCWP and the corresponding diffraction order of each LCPG

  48. [48]

    Using t he single-device calibration data (from Step 1) and the calculated light path (from Step 2), the theoretical driving voltage for each LCWP is predicted

    Prediction of driving voltages for each LCWP at specific incident angles. Using t he single-device calibration data (from Step 1) and the calculated light path (from Step 2), the theoretical driving voltage for each LCWP is predicted. The predicted voltage serves as initial state of the system, ensuring the beam is directed to the ideal position by contro...

  49. [49]

    The actual deflection angle of the beam is measured using a two -axis turntable and a position- sensing camera

    Measurement of the practical deflection angle using a turntable and position -sensing device. The actual deflection angle of the beam is measured using a two -axis turntable and a position- sensing camera. The turntable is rotated to align the system, and the centroid of the output beam is analyzed to determine the real deflection angle, accounting for an...

  50. [50]

    The system's output efficiency is optimized

    Fine-tuning of voltages to optimize efficiency using a power meter. The system's output efficiency is optimized. Starting from the predicted voltages as initial values, a systematic search is performed to 11 find the voltage combination that maximizes the output power, as measured by a power meter. This step yields the optimal driving voltages for the hig...

  51. [51]

    Conventional edge-detection operators are prone to failure when high-frequency texture information is substantially degraded

    Contextual Feature Extraction in the Backbone The network first receives a highly blurred license-plate image X as input. Conventional edge-detection operators are prone to failure when high-frequency texture information is substantially degraded. Therefore, as the input passes through the CSPDarknet-based backbone, the receptive field progressively incre...

  52. [52]

    As shown in the central part of Fig

    Multiscale Feature Fusion and Attention-Based Focusing To prevent weak blurred-target features from being attenuated or lost in the deeper layers, the neck adopts a multiscale path-aggregation network, or PANet. As shown in the central part of Fig. S7, feature maps extracted at different depths are fused through concatenation operations, denoted by ⊕. An ...

  53. [53]

    Parallel 1×1 convolutional branches are used to separate classification from bounding-box regression, thereby reducing task interference caused by ambiguous blurred features

    Decoupled Prediction and Probability-Distribution-Based Regression The attention-enhanced feature maps are subsequently fed into a decoupled prediction head. Parallel 1×1 convolutional branches are used to separate classification from bounding-box regression, thereby reducing task interference caused by ambiguous blurred features. For bounding-box regress...

  54. [54]

    The final predicted bounding box, denoted by 𝑩𝑩𝒑𝒑𝒓𝒓𝒑𝒑𝒑𝒑, can therefore maintain relatively high detection confidence and localization accuracy despite substantial edge degradation

    Detection Output By explicitly modeling boundary uncertainty, the proposed regression strategy enables the network to infer reliable license-plate bounding boxes even under severe motion blur or defocus. The final predicted bounding box, denoted by 𝑩𝑩𝒑𝒑𝒓𝒓𝒑𝒑𝒑𝒑, can therefore maintain relatively high detection confidence and localization accuracy despite su...

  55. [55]

    Research on the Deflection Characteristics of Non-Mechanical Beams of Liquid Crystal Variable Retarder Cascade Polarization Gratings

    Wang QH, Chang S, Lin P, et al. Research on the Deflection Characteristics of Non-Mechanical Beams of Liquid Crystal Variable Retarder Cascade Polarization Gratings. IEEE Photonics Journal 16, 1–8 (2024)

    2024

  56. [56]

    Three-dimensional imaging based on electronically adaptive liquid crystal lens

    Li H, Pan F, Wu Y, et al. Three-dimensional imaging based on electronically adaptive liquid crystal lens. Appl Opt 53, 7916 (2014)

    2014

  57. [57]

    Speeding up liquid crystal SLMs using overdrive with phase change reduction

    Thalhammer G, Bowman RW, Love GD, et al. Speeding up liquid crystal SLMs using overdrive with phase change reduction. Opt Express 21, 1779 (2013)

    2013