REVIEW 3 major objections 6 minor 81 references
Resonant microtaper leaky-mode computational spectropolarimetry with tens of femtometers spectral resolution and full stokes measurement
T0 review · 3 major / 6 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read A speckle-based device reads both spectrum and polarization at 0.02 pm resolution in a sub-millimeter footprint.
desk verdict A clever device and a few genuinely useful results, but the 0.02 pm resolution claim is not supported by the paper's own sampling and channel-count statements; still worth referee time if the missing OPD/Q/calibration details can be supplied. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing object is the speckle correlation function $C(\Delta k)=\sin^2(\Delta k\,\Delta D_{\max})/(\Delta k\,\Delta D_{\max})^2$, which the paper derives from a path-interference model of any random medium; the first zero at $\Delta k\,\Delta D_{\max}=\pi$ sets the resolution and leads to the frequency step $\Delta f=c/(2\Delta D_{\max})$. The physical implementation is a microtaper coreless fiber whose leaky modes interfere into a speckle pattern, with a 425 micrometer WGM microsphere added to resonantly extend the OPD. Reconstruction is done by regularized least-squares inversion of a calibrated transmission matrix, mapping each measured speckle to a spectrum and a Stokes vector.
What would settle it
Take an unknown two-line spectrum with a 0.02 pm separation near 1550 nm and reconstruct it from one measured speckle using the same transmission matrix; if the two lines cannot be separated, the claimed resolution is not real resolving power. Alternatively, check whether the stated roughly 128,000 modes can encode the roughly $1.5 \times 10^6$ spectral channels implied by a 150 nm bandwidth sampled at 0.1 pm, or test whether calibration at finer than 0.02 pm changes the reconstructed spectrum.
Extended reading notes
Core claim
The central claim is that the resolution of any computational spectropolarimeter is determined by the maximum OPD in its random medium, expressed through the speckle cross-correlation $C(\Delta k) = \sin^2(\Delta k\,\Delta D_{\max})/(\Delta k\,\Delta D_{\max})^2$, so that the smallest measurable optical-frequency step is $\Delta f = c/(2\Delta D_{\max})$. Guided by this limit, the paper demonstrates a device in which a non-adiabatically tapered coreless fiber with a roughly 1 micrometer waist and about 128,000 supported modes is coupled to a 425 micrometer WGM microsphere; the microsphere couples preferentially to high-order leaky modes, raising the maximum OPD and making the speckle pattern far more sensitive to wavelength and polarization changes. With this RLM structure the authors achieve 0.02 pm spectral resolution, 150 nm bandwidth, and full-Stokes reconstruction with an overall MSE of $4.732 \times 10^{-6}$ and a maximum Stokes error of $1.552 \times 10^{-5}$ on the Poincar\'e sphere, all within a sub-square-millimeter footprint.
Load-bearing premise
The reported 0.02 pm resolution assumes the calibration speckle data contain enough information to distinguish wavelength shifts that small, yet the experiments captured speckles at 0.1 pm intervals and give no finer calibration step; if the calibration grid cannot support 0.02 pm discrimination, the resolution claim lacks direct support.
Editorial extensions
If this is right
- Any computational spectrometer's resolution is bounded by the maximum optical path difference of its random medium, so future designs can be compared by this single number.
- The RLM device pushes spectral resolution to 0.02 pm and bandwidth to 150 nm in a sub-square-millimeter footprint, giving a bandwidth-to-resolution ratio of $7.5 \times 10^6$ and a resolution-footprint product of $5\ \mathrm{nm}\cdot\mu\mathrm{m}^2$.
- Full-Stokes polarization is recovered simultaneously with spectrum, with MSE $4.732 \times 10^{-6}$ and polarization resolution 0.00149 on the Poincar\'e sphere.
- Adding the WGM microsphere improves spectral resolution by roughly 75 times, from 1.5 pm to 0.02 pm, consistent with the OPD-based model.
- The system reconstructs both narrowband and broadband spectra, with sensitivity below -30 dBm and long-term speckle correlation above 0.99 over 1250 minutes.
Reading between the lines
- If the OPD rule is general, then any high-Q resonance that folds more path length into a small volume, such as photonic molecules or dispersion-engineered cavities, should push resolution further.
- A 0.02 pm resolution at 1550 nm corresponds to roughly 2.5 MHz of optical-frequency discrimination, which would make the device interesting for Doppler-free spectroscopy or gas sensing if the calibration can support it.
- The resolution-footprint product used here could become a standard reporting metric for computational spectrometers, making trade-offs across very different platforms directly comparable.
- A direct test of the model would be to measure $C(\Delta k)$ for several random media with independently characterized OPD distributions and check that the first zero tracks $\Delta D_{\max}$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript proposes a computational spectropolarimeter that combines a tapered coreless fiber with a WGM microsphere, together with an analytical model in which the spectral resolution of any computational measurement system is set by the maximum optical path difference (OPD) in the random medium. The authors report a spectral resolution of 0.02 pm, a 150 nm measurement bandwidth, full-Stokes polarization measurement with an MSE of 4.732e-6, and derive from these a bandwidth/resolution ratio of 7.5e6 and a resolution-footprint product of 5 nm x um^2. The reconstruction is performed through a regularized least-squares optimization, Eq. (4), and the paper includes long-term stability measurements of the speckle pattern and a comparison table against prior polarimeters and spectropolarimeters.
Significance. If the reported 0.02 pm spectral resolution and full-Stokes accuracy were fully supported, this would be a notable advance in compact computational spectropolarimetry, and the proposed analytical link between resolution and maximum OPD would be a useful design principle. The device concept, resonant coupling between leaky modes and a WGM microsphere, is creative, and the long-term stability measurement is a valuable and apparently careful control. However, the central spectral-resolution claim is not supported by the experimental procedure as described, and since the bandwidth/resolution and resolution-footprint metrics are all derived from that claim, the overall significance cannot currently be assessed.
major comments (3)
- [Section 4, Methods, and Fig. 3(c)] The Methods states that speckle patterns for the resolution measurement were captured at spectral intervals of 0.1 pm, yet Fig. 3(c) claims to resolve two lines separated by 0.02 pm (1550.000032 nm and 1550.000052 nm). The reconstruction in Eq. (4) uses a transmission matrix T whose columns are calibration wavelengths; if those columns are on the stated 0.1 pm grid, the two test wavelengths fall between dictionary columns and no sparse solver can separate them without an off-grid or interpolation procedure that is not described. The calibration wavelength grid over the 150 nm band is never specified. This discrepancy directly affects the central 0.02 pm claim and all metrics derived from it.
- [Section 2.2 and Section 3] The system is stated to support approximately 128,000 modes in the 250/500 um coreless fiber, while the reported bandwidth-to-resolution ratio of 150 nm / 0.02 pm = 7.5e6 implies about 7.5 million resolvable spectral channels. The model in Section 2.1 states that the maximum number of measurable channels equals the number of distinct optical path lengths. No mechanism is presented to account for a factor of roughly 58 between the stated number of paths and the claimed number of channels; the WGM coupling is only described qualitatively. The headline bandwidth/resolution and resolution-footprint numbers therefore overstate what the stated mode count can support.
- [Section 2.1, Eq. (2), and Section 2.3] The key explanatory quantity, the maximum optical path difference Dmax, is never measured or independently estimated. The improvement in the correlation curve from 1.5 pm to 0.02 pm in Fig. 3(a) is attributed to WGM-enhanced OPD, but no direct evidence is provided, such as a measured Dmax, a simulation, or a resolved free-spectral-range pattern. Because the analytical model is used post hoc to interpret the observed resolution rather than to predict it, the causal mechanism behind the claimed enhancement remains unverified.
minor comments (6)
- [Eq. (2)] The expression sin(Delta k Delta Dmax)^2 / (Delta k Delta Dmax)^2 is ambiguous; it should be written as [sin(x)/x]^2 or with an explicit absolute value, and the argument x should be defined clearly.
- [Fig. 4] The text refers to Fig. 4(c)-(e) and Fig. 4(f), but the figure caption lists only panels (a)-(d); the panel labels and the text references should be reconciled.
- [Abstract] The phrase 'may inspires novel design' should be corrected to 'may inspire novel designs'.
- [Section 2.1] The phrase 'positions0 after passing through' should read 'positions s0 after passing through'.
- [Table 1] The table header contains the typo 'mansurement' in 'Full-Stokes mansurement'; it should be 'measurement'.
- [Section 3] The text contains the duplicated determiner 'a a leading performance with a high bandwidth/resolution'; one 'a' should be removed.
Circularity Check
No significant circularity: the theoretical model, calibration, and experimental resolution claims are not equivalent to their inputs by construction, though the 0.02 pm claim has a sampling-evidence gap.
full rationale
The paper's derivation chain is not circular. The theoretical model (Eqs. 1-2) says spectral resolution is set by the maximum optical path difference, expressed through a sinc-squared correlation function; this is a stated governing relation, not an output fitted to the later resolution measurement. The transmission matrix in Eqs. (3)-(4) is calibrated from reference inputs and then used for reconstruction, which is the standard inversion setup rather than a prediction forced by the fit. The claimed 0.02 pm resolution is presented as an experimental observation: the correlation-curve width in Fig. 3(a) and the two-line reconstruction in Fig. 3(c). The WGM-OPD mechanism is offered as a post-hoc explanation of the observed improvement, and although the OPD itself is not independently measured, the explanation is not used to generate the resolution number by construction. The only self-citation (Ref. 42) appears as a performance comparison in Table 1 and is not load-bearing. A separate correctness concern exists in the Methods: speckle patterns are stated to be captured at 0.1 pm intervals, five times coarser than the claimed 0.02 pm resolution and line separation, and the calibration wavelength grid over the full 150 nm band is unspecified; this weakens support for the headline resolution but is an evidence gap, not a circular reduction. The theoretical model and the experimental claims therefore remain independent, so the circularity score is 0.
Assumptions & free parameters
free parameters (3)
- Regularization weight xi (L1 sparsity) =
chosen via K-fold cross-validation
- Regularization weight zeta (L2 smoothness) =
chosen via K-fold cross-validation
- Correlation half-max threshold (0.5) =
0.5
assumptions (6)
- domain assumption Random media can be modeled as M discrete optical paths with distinct lengths and no nonlinear interaction (Eq. 1, Section 2.1).
- domain assumption The maximum number of measurable spectral channels equals the number of distinct optical path lengths in the medium (Supplementary S1.1).
- domain assumption Speckle patterns have a one-to-one correspondence with wavelength and polarization state (Section 2.2).
- ad hoc to paper Non-ideal sphericity of the WGM microsphere increases the number of phase-matching points and the OPD between low-order and high-order leaky modes (Section 2.3).
- ad hoc to paper Incident spectra are sparse or smooth enough for L1/L2 regularized reconstruction (Eq. 4).
- standard math The standard Fourier-transform relation Delta f = c/(2 Delta Dmax) applies to computational speckle spectrometers (Section 2.1).
Cite this review
Pith. "Pith review of Resonant microtaper leaky-mode computational spectropolarimetry with tens of femtometers spectral resolution and full stokes measurement." pith.science (2026). https://pith.science/paper/ZRWLR2J2
@misc{pith2026250706468,
author = {Pith},
title = {Pith review of: Resonant microtaper leaky-mode computational spectropolarimetry with tens of femtometers spectral resolution and full stokes measurement},
year = {2026},
howpublished = {\url{https://pith.science/paper/ZRWLR2J2}},
note = {Machine review of arXiv:2507.06468}
}
abstract
Emerging computational measurement techniques for acquiring multi-dimensional optical field information, such as spectrum and polarization, are rapidly advancing and offer promising solutions for realizing high-performance miniature systems. The performance of these computational measurement approaches is critically influenced by the choice of random media, yet a general framework for evaluating different implementations remains absent. Here, we propose a universal analytical model for computational measurement systems and reveal that the system resolution is fundamentally determined by the maximum optical path difference (OPD) permitted within the random medium. Building on this theoretical foundation, we present a resonant leaky-mode (RLM) spectropolarimeter that achieves a record high resolution-footprint-product metric. The RLM spectropolarimeter leverages the complex coupling between leaky modes in a tapered coreless optical fiber and whispering-gallery modes (WGM) of microsphere to significantly enhance the maximum OPD within a compact footprint. We simultaneously achieve an ultrahigh spectral resolution of 0.02 pm, a spectral measurement bandwidth of 150 nm, and full-Stokes polarization measurement with an accuracy of $4.732 \times 10^{-6}$, all within a sub-square-millimeter footprint. The proposed theoretical model clarifies the key factors governing the performance of computational measurement systems based on random media and may inspires novel design of advanced computational measurement systems for optical field. The demonstrated RLM spectropolarimeter offers a potential approach for highly integrated, high-performance multi-dimensional optical field measurement.
Reference graph
Works this paper leans on
-
[1]
M. V. Berry, ``The singularities of light: intensity, phase, polarisation,'' Light: Science & Applications , vol. 12, no. 1, p. 238, 2023
2023
-
[2]
J. Weiner and P.-T. Ho, Light-matter interaction: fundamentals and applications , vol. 1. John Wiley & Sons, 2008
work page 2008
-
[3]
C. He, H. He, J. Chang, B. Chen, H. Ma, and M. J. Booth, ``Polarisation optics for biomedical and clinical applications: a review,'' Light: Science & Applications , vol. 10, no. 1, p. 194, 2021
work page 2021
-
[4]
J. S. Tyo, D. L. Goldstein, D. B. Chenault, and J. A. Shaw, ``Review of passive imaging polarimetry for remote sensing applications,'' Applied optics , vol. 45, no. 22, pp. 5453--5469, 2006
work page 2006
-
[5]
E. Vinegrad, U. Hananel, G. Markovich, and O. Cheshnovsky, ``Determination of handedness in a single chiral nanocrystal via circularly polarized luminescence,'' ACS nano , vol. 13, no. 1, pp. 601--608, 2018
work page 2018
-
[6]
A. Schliesser, M. Brehm, F. Keilmann, and D. W. v. der Weide, ``Frequency-comb infrared spectrometer for rapid, remote chemical sensing,'' Optics express , vol. 13, no. 22, pp. 9029--9038, 2005
work page 2005
-
[7]
J. Liu, J. Jiang, Q. Zhang, J. Deng, and J. Hao, ``A spectrometer for measuring particle size distributions in the range of 3 nm to 10 m,'' Frontiers of Environmental Science & Engineering , vol. 10, pp. 63--72, 2016
work page 2016
-
[8]
F. Zaera, ``New advances in the use of infrared absorption spectroscopy for the characterization of heterogeneous catalytic reactions,'' Chemical Society Reviews , vol. 43, no. 22, pp. 7624--7663, 2014
work page 2014
Show all 81 references
-
[9]
D. A. Glenar, J. J. Hillman, B. Saif, and J. Bergstralh, ``Acousto-optic imaging spectropolarimetry for remote sensing,'' Applied Optics , vol. 33, no. 31, pp. 7412--7424, 1994
1994
-
[10]
Hsiang and S.-T
E.-L. Hsiang and S.-T. Wu, ``Novel developments in computational spectropolarimeter,'' Light: Science & Applications , vol. 12, no. 1, p. 52, 2023
2023
-
[11]
Yermolenko, A
S. Yermolenko, A. Ushenko, P. Ivashko, F. Goudail, I. Gruia, C. Gavril a , D. Zimnyakov, and A. Mikhailova, ``Spectropolarimetry of cancer change of biotissues,'' in Ninth International Conference on Correlation Optics , vol. 7388, pp. 404--410, SPIE, 2009
2009
-
[12]
Trujillo-Bueno, F
J. Trujillo-Bueno, F. Moreno-Insertis, and F. S \'a nchez, Astrophysical spectropolarimetry . Cambridge University Press, 2002
2002
-
[13]
W. Liu, J. Liao, Y. Yu, and X. Zhang, ``High-efficient and high-accurate integrated division-of-time polarimeter,'' APL Photonics , vol. 6, no. 7, 2021
2021
-
[14]
X. Meng, J. Li, H. Song, and R. Zhu, ``Full-stokes fourier-transform imaging spectropolarimeter using a time-division polarization modulator,'' Appl. Opt. , vol. 53, pp. 5275--5282, Aug 2014
2014
-
[15]
Alali, T
S. Alali, T. Yang, and I. A. Vitkin, ``Rapid time-gated polarimetric stokes imaging using photoelastic modulators,'' Opt. Lett. , vol. 38, pp. 2997--3000, Aug 2013
2013
-
[16]
Peinado, A
A. Peinado, A. Turpin, A. Lizana, E. Fern\' a ndez, J. Mompart, and J. Campos, ``Conical refraction as a tool for polarization metrology,'' Opt. Lett. , vol. 38, pp. 4100--4103, Oct 2013
2013
-
[17]
J. D. Perreault, ``Triple wollaston-prism complete-stokes imaging polarimeter,'' Opt. Lett. , vol. 38, pp. 3874--3877, Oct 2013
2013
-
[18]
del R\' i o-Lima, A
A. del R\' i o-Lima, A. Guti\' e rrez-Vald\' e s, C. Mojica-Casique, F. Ballesteros-Flores, I. A. Villanueva-Reyes, R. Col\' i n-Rodr\' i guez, C. A. Gardea-Flores, F. J. Poveda-Cuevas, and J. A. Seman, ``Homemade open-source full-stokes polarimeter based on division of amplit...
2024
-
[19]
A. S. Alenin and J. S. Tyo, ``Generalized channeled polarimetry,'' J. Opt. Soc. Am. A , vol. 31, pp. 1013--1022, May 2014
2014
-
[20]
I. J. Vaughn, A. S. Alenin, and J. S. Tyo, ``Channeled spatio&\#x2013;temporal stokes polarimeters,'' Opt. Lett. , vol. 43, pp. 2768--2771, Jun 2018
2018
-
[21]
J. Chen, X. Li, J. Jirigalantu, F. Li, Q. Chu, Y. Sun, and H. Bayan, ``White-light channeled imaging polarimeter using savart plates and a polarization sagnac interferometer,'' Opt. Express , vol. 31, pp. 18177--18189, May 2023
2023
-
[22]
J. S. Tyo, O. G. Rodr\' i guez-Herrera, C. Flannery, J. Kurtz, and A. S. Alenin, ``Scene-adaptive spatially channeled imaging mueller polarimeter,'' Opt. Express , vol. 31, pp. 23678--23692, Jul 2023
2023
-
[23]
Huang, H
C. Huang, H. Liu, H. Zhang, S. Wu, X. Jiang, Y. Fang, L. Zhou, and J. Hu, ``Learnable sparse dictionary compressed sensing for channeled spectropolarimeter,'' Opt. Express , vol. 32, pp. 20915--20930, Jun 2024
2024
-
[24]
Z. Zhao, Y. Li, K. Liu, and G. Zhou, ``Derivation and calibration of spectral response for a channeled spectropolarimeter,'' Opt. Express , vol. 31, pp. 25763--25780, Jul 2023
2023
-
[25]
J. Hu, X. Chen, W. Chen, S. Yang, Y. Wang, Z. Tang, and S. Liu, ``Frequency properties of channeled spectropolarimetry: an information theory perspective,'' Opt. Express , vol. 32, pp. 3735--3750, Jan 2024
2024
-
[26]
X. Chen, H. Gu, J. Liu, C. Chen, and S. Liu, ``Advanced mueller matrix ellipsometry: Instrumentation and emerging applications,'' Science China Technological Sciences , vol. 65, no. 9, pp. 2007--2030, 2022
2007
-
[27]
Dong and H
J. Dong and H. Zhou, ``Polarimeters from bulky optics to integrated optics: a review,'' Optics Communications , vol. 465, p. 125598, 2020
2020
-
[28]
Y. Ni, C. Chen, S. Wen, X. Xue, L. Sun, and Y. Yang, ``Computational spectropolarimetry with a tunable liquid crystal metasurface,'' Elight , vol. 2, no. 1, p. 23, 2022
2022
-
[29]
L. Chen, Y. Yu, and X. Zhang, ``Imaging spectropolarimeter using a multifunctional metasurface,'' Nano Letters , vol. 24, no. 40, pp. 12634--12641, 2024
2024
-
[30]
F. Ding, A. Pors, Y. Chen, V. A. Zenin, and S. I. Bozhevolnyi, ``Beam-size-invariant spectropolarimeters using gap-plasmon metasurfaces,'' Acs Photonics , vol. 4, no. 4, pp. 943--949, 2017
2017
-
[31]
W. T. Chen, P. T \"o r \"o k, M. R. Foreman, C. Y. Liao, W.-Y. Tsai, P. R. Wu, and D. P. Tsai, ``Integrated plasmonic metasurfaces for spectropolarimetry,'' Nanotechnology , vol. 27, no. 22, p. 224002, 2016
2016
-
[32]
C. Gao, X. Cao, J. Weng, B. Zhang, D. Liu, Y. Mei, X. Yang, W. Liu, and B. Lei, ``Broadband spectropolarimetry based on single-shot intensity images of polychromatic structured vector beams,'' Photonics Research , vol. 13, no. 3, pp. 781--790, 2025
2025
-
[33]
Z. Yang, T. Albrow-Owen, W. Cai, and T. Hasan, ``Miniaturization of optical spectrometers,'' Science , vol. 371, no. 6528, p. eabe0722, 2021
2021
-
[34]
Q. Xue, Y. Yang, W. Ma, H. Zhang, D. Zhang, X. Lan, L. Gao, J. Zhang, and J. Tang, ``Advances in miniaturized computational spectrometers,'' Advanced Science , vol. 11, no. 47, p. 2404448, 2024
2024
-
[35]
X. Wang, K. Zhu, K. Zhu, B. Li, D. Shen, and Z.-g. Zheng, ``A simple polarimetric measurement based on a computational algorithm,'' Optics Letters , vol. 48, no. 15, pp. 4085--4088, 2023
2023
-
[36]
R. Hao, N. Zeng, W. Jiao, H. He, C. He, and H. Ma, ``Cartesian coordinates transformation for backscattering computational polarimetry,'' Optics Express , vol. 32, no. 18, pp. 32294--32308, 2024
2024
-
[37]
Y. Kwak, S. M. Park, Z. Ku, A. Urbas, and Y. L. Kim, ``A pearl spectrometer,'' Nano Letters , vol. 21, no. 2, pp. 921--930, 2020
2020
-
[38]
Redding, S
B. Redding, S. M. Popoff, and H. Cao, ``All-fiber spectrometer based on speckle pattern reconstruction,'' Optics express , vol. 21, no. 5, pp. 6584--6600, 2013
2013
-
[39]
N. K. Metzger, R. Spesyvtsev, G. D. Bruce, B. Miller, G. T. Maker, G. Malcolm, M. Mazilu, and K. Dholakia, ``Harnessing speckle for a sub-femtometre resolved broadband wavemeter and laser stabilization,'' Nature communications , vol. 8, no. 1, p. 15610, 2017
2017
-
[40]
C. Yao, K. Xu, W. Zhang, M. Chen, Q. Cheng, and R. Penty, ``Integrated reconstructive spectrometer with programmable photonic circuits,'' Nature Communications , vol. 14, no. 1, p. 6376, 2023
2023
-
[41]
Xiong, H
Y. Xiong, H. Wu, M. Zhang, Y. Yao, and M. Tang, ``Multimode fiber based high-dimensional light analyzer,'' arXiv preprint arXiv:2502.16266 , 2025
2025 arXiv
-
[42]
Q. Zhou, Y. Wan, X. Fan, and Z. He, ``All-fiber high-resolution computational spectropolarimeter based on speckle pattern,'' Chinese Optics Letters , vol. 22, no. 12, p. 123001, 2024
2024
-
[43]
Zhu, Z.-h
S.-k. Zhu, Z.-h. Zheng, W. Meng, S.-s. Chang, Y. Tan, L.-J. Chen, X. Fang, M. Gu, and J.-h. Chen, ``Harnessing disordered photonics via multi-task learning towards intelligent four-dimensional light field sensors,'' PhotoniX , vol. 4, no. 1, p. 26, 2023
2023
-
[44]
C. Ma, S. Yuan, P. Cheung, K. Watanabe, T. Taniguchi, F. Zhang, and F. Xia, ``Intelligent infrared sensing enabled by tunable moir \'e quantum geometry,'' Nature , vol. 604, no. 7905, pp. 266--272, 2022
2022
-
[45]
H. Tang, B. Lou, F. Du, G. Gao, M. Zhang, X. Ni, E. Hu, A. Yacoby, Y. Cao, S. Fan, et al. , ``An adaptive moir \'e sensor for spectro-polarimetric hyperimaging,'' Nature Photonics , pp. 1--8, 2025
2025
-
[46]
X. Wang, T. Van Mechelen, S. Bharadwaj, M. Roknuzzaman, F. Bao, R. Rahman, and Z. Jacob, ``Exploiting universal nonlocal dispersion in optically active materials for spectro-polarimetric computational imaging,'' eLight , vol. 4, no. 1, pp. 1--13, 2024
2024
-
[47]
Basiri, X
A. Basiri, X. Chen, J. Bai, P. Amrollahi, J. Carpenter, Z. Holman, C. Wang, and Y. Yao, ``Nature-inspired chiral metasurfaces for circular polarization detection and full-stokes polarimetric measurements,'' Light: Science & Applications , vol. 8, no. 1, p. 78, 2019
2019
-
[48]
Espinosa-Soria, F
A. Espinosa-Soria, F. J. Rodr \' guez-Fortu \ n o, A. Griol, and A. Mart \' nez, ``On-chip optimal stokes nanopolarimetry based on spin--orbit interaction of light,'' Nano letters , vol. 17, no. 5, pp. 3139--3144, 2017
2017
-
[49]
Balthasar Mueller, K
J. Balthasar Mueller, K. Leosson, and F. Capasso, ``Ultracompact metasurface in-line polarimeter,'' Optica , vol. 3, no. 1, pp. 42--47, 2016
2016
-
[50]
Arbabi, S
E. Arbabi, S. M. Kamali, A. Arbabi, and A. Faraon, ``Full-stokes imaging polarimetry using dielectric metasurfaces,'' Acs Photonics , vol. 5, no. 8, pp. 3132--3140, 2018
2018
-
[51]
M. Jung, S. Dutta-Gupta, N. Dabidian, I. Brener, M. Shcherbakov, and G. Shvets, ``Polarimetry using graphene-integrated anisotropic metasurfaces,'' Acs Photonics , vol. 5, no. 11, pp. 4283--4288, 2018
2018
-
[52]
J. Bai, C. Wang, X. Chen, A. Basiri, C. Wang, and Y. Yao, ``Chip-integrated plasmonic flat optics for mid-infrared full-stokes polarization detection,'' Photonics research , vol. 7, no. 9, pp. 1051--1060, 2019
2019
-
[53]
N. Hu, Y. Meng, K. Zou, Y. Feng, Z. Hao, S. Steinhauer, S. Gyger, V. Zwiller, and X. Hu, ``Full-stokes polarimetric measurements and imaging using a fractal superconducting nanowire single-photon detector,'' Optica , vol. 9, no. 4, pp. 346--351, 2022
2022
-
[54]
Z. Yang, T. Albrow-Owen, H. Cui, J. Alexander-Webber, F. Gu, X. Wang, T.-C. Wu, M. Zhuge, C. Williams, P. Wang, et al. , ``Single-nanowire spectrometers,'' Science , vol. 365, no. 6457, pp. 1017--1020, 2019
2019
-
[55]
Zheng, L
B. Zheng, L. Li, J. Wang, M. Zhuge, X. Su, Y. Xu, Q. Yang, Y. Shi, and X. Wang, ``On-chip measurement of photoluminescence with high sensitivity monolithic spectrometer,'' Advanced Optical Materials , vol. 8, no. 11, p. 2000191, 2020
2020
-
[56]
Liu and A
T. Liu and A. Fiore, ``Designing open channels in random scattering media for on-chip spectrometers,'' Optica , vol. 7, no. 8, pp. 934--939, 2020
2020
-
[57]
Hadibrata, H
W. Hadibrata, H. Noh, H. Wei, S. Krishnaswamy, and K. Aydin, ``Compact, high-resolution inverse-designed on-chip spectrometer based on tailored disorder modes,'' Laser & Photonics Reviews , vol. 15, no. 9, p. 2000556, 2021
2021
-
[58]
Li and Y
A. Li and Y. Fainman, ``On-chip spectrometers using stratified waveguide filters,'' Nature communications , vol. 12, no. 1, p. 2704, 2021
2021
-
[59]
S. Yuan, D. Naveh, K. Watanabe, T. Taniguchi, and F. Xia, ``A wavelength-scale black phosphorus spectrometer,'' Nature Photonics , vol. 15, no. 8, pp. 601--607, 2021
2021
-
[60]
Redding, S
B. Redding, S. F. Liew, R. Sarma, and H. Cao, ``Compact spectrometer based on a disordered photonic chip,'' Nature Photonics , vol. 7, no. 9, pp. 746--751, 2013
2013
-
[61]
Redding, S
B. Redding, S. Fatt Liew, Y. Bromberg, R. Sarma, and H. Cao, ``Evanescently coupled multimode spiral spectrometer,'' Optica , vol. 3, no. 9, pp. 956--962, 2016
2016
-
[62]
Hartmann, P
W. Hartmann, P. Varytis, H. Gehring, N. Walter, F. Beutel, K. Busch, and W. Pernice, ``Waveguide-integrated broadband spectrometer based on tailored disorder,'' Advanced Optical Materials , vol. 8, no. 6, p. 1901602, 2020
2020
-
[63]
Hartmann, P
W. Hartmann, P. Varytis, H. Gehring, N. Walter, F. Beutel, K. Busch, and W. Pernice, ``Broadband spectrometer with single-photon sensitivity exploiting tailored disorder,'' Nano letters , vol. 20, no. 4, pp. 2625--2631, 2020
2020
-
[64]
Cheng, Y
Z. Cheng, Y. Zhao, J. Zhang, H. Zhou, D. Gao, J. Dong, and X. Zhang, ``Generalized modular spectrometers combining a compact nanobeam microcavity and computational reconstruction,'' ACS Photonics , vol. 9, no. 1, pp. 74--81, 2021
2021
-
[65]
H. Xu, Y. Qin, G. Hu, and H. K. Tsang, ``Cavity-enhanced scalable integrated temporal random-speckle spectrometry,'' Optica , vol. 10, no. 9, pp. 1177--1188, 2023
2023
-
[66]
Zhang, Y
Z. Zhang, Y. Li, Y. Wang, Z. Yu, X. Sun, and H. K. Tsang, ``Compact high resolution speckle spectrometer by using linear coherent integrated network on silicon nitride platform at 776 nm,'' Laser & Photonics Reviews , vol. 15, no. 11, p. 2100039, 2021
2021
-
[67]
Zhang, Z
J. Zhang, Z. Cheng, J. Dong, and X. Zhang, ``Cascaded nanobeam spectrometer with high resolution and scalability,'' Optica , vol. 9, no. 5, pp. 517--521, 2022
2022
-
[68]
C. Sun, Z. Chen, Y. Ye, K. Lei, H. Ma, M. Wei, R. Tang, J. Wu, H. Lin, and L. Li, ``Scalable on-chip microdisk resonator spectrometer,'' Laser & Photonics Reviews , vol. 17, no. 5, p. 2200792, 2023
2023
-
[69]
Zhang, M
L. Zhang, M. Zhang, T. Chen, D. Liu, S. Hong, and D. Dai, ``Ultrahigh-resolution on-chip spectrometer with silicon photonic resonators,'' Opto-Electronic Advances , vol. 5, no. 7, pp. 210100--1, 2022
2022
-
[70]
H. Xu, Y. Qin, G. Hu, and H. K. Tsang, ``Breaking the resolution-bandwidth limit of chip-scale spectrometry by harnessing a dispersion-engineered photonic molecule,'' Light: Science & Applications , vol. 12, no. 1, p. 64, 2023
2023
-
[71]
H. Xu, Y. Qin, G. Hu, and H. K. Tsang, ``Integrated single-resonator spectrometer beyond the free-spectral-range limit,'' ACS Photonics , vol. 10, no. 3, pp. 654--666, 2023
2023
-
[72]
C. Yao, M. Chen, T. Yan, L. Ming, Q. Cheng, and R. Penty, ``Broadband picometer-scale resolution on-chip spectrometer with reconfigurable photonics,'' Light: Science & Applications , vol. 12, no. 1, p. 156, 2023
2023
-
[73]
Y. Zhao, X. Guo, J. Xiang, Z. Zhao, Y. Zhang, X. Xiao, J. Liu, D. Chen, and Y. Su, ``Miniaturized computational spectrometer based<? tex break?> on two-photon absorption,'' Optica , vol. 11, no. 3, pp. 399--402, 2024
2024
-
[74]
Zhang, T
Y. Zhang, T. Albrow-Owen, Z. Zhao, Y. Chen, Y. Zhao, H. Joyce, T. Hasan, Z. Yang, Y. Su, and X. Guo, ``Miniaturized disordered photonic molecule spectrometer,'' Light: Science & Applications , vol. 14, no. 1, p. 144, 2025
2025
-
[75]
Cheng, C.-L
R. Cheng, C.-L. Zou, X. Guo, S. Wang, X. Han, and H. X. Tang, ``Broadband on-chip single-photon spectrometer,'' Nature communications , vol. 10, no. 1, p. 4104, 2019
2019
-
[76]
Zhang, S
Z. Zhang, S. Xiao, Q. Song, and K. Xu, ``Scalable on-chip diffractive speckle spectrometer with high spectral channel density,'' Light: Science & Applications , vol. 14, no. 1, p. 130, 2025
2025
-
[77]
M. G. Uddin, S. Das, A. M. Shafi, L. Wang, X. Cui, F. Nigmatulin, F. Ahmed, A. C. Liapis, W. Cai, Z. Yang, et al. , ``Broadband miniaturized spectrometers with a van der waals tunnel diode,'' Nature Communications , vol. 15, no. 1, p. 571, 2024
2024
-
[78]
Q. Cen, S. Pian, X. Liu, Y. Tang, X. He, and Y. Ma, ``Microtaper leaky-mode spectrometer with picometer resolution,'' eLight , vol. 3, no. 1, p. 9, 2023
2023
-
[79]
Le Coarer, S
E. Le Coarer, S. Blaize, P. Benech, I. Stefanon, A. Morand, G. L \'e rondel, G. Leblond, P. Kern, J. M. Fedeli, and P. Royer, ``Wavelength-scale stationary-wave integrated fourier-transform spectrometry,'' Nature Photonics , vol. 1, no. 8, pp. 473--478, 2007
2007
-
[80]
A. V. Velasco, P. Cheben, P. J. Bock, A. Del \^a ge, J. H. Schmid, J. Lapointe, S. Janz, M. L. Calvo, D.-X. Xu, M. Florja \'n czyk, et al. , ``High-resolution fourier-transform spectrometer chip with microphotonic silicon spiral waveguides,'' Optics letters , vol. 38, no. 5, p...
2013
-
[81]
Finco, G
G. Finco, G. Li, D. Pohl, M. Reig Escal \'e , A. Maeder, F. Kaufmann, and R. Grange, ``Monolithic thin-film lithium niobate broadband spectrometer with one nanometre resolution,'' Nature Communications , vol. 15, no. 1, p. 2330, 2024
2024
Reviewed August 6, 2026 · model on record in the stance chip above.
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