All-optical discrete illumination-based compressed ultrafast photography

Chengyu Zhou; Dalong Qi; Jiali Yao; Lianzhong Deng; Long Cheng; Ning Xu; Shian Zhang; Wenzhang Lin; Yuecheng Shen; Yu He

REVIEW 3 major objections 6 minor 44 references

All-optical discrete illumination-based compressed ultrafast photography

T0 review · 3 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash

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Pith's one-line read AOD-CUP replaces the streak camera with a wavelength-tagged pulse train and reports 128 lp/mm single-shot resolution.

desk verdict AOD-CUP is a real system-level advance—FACED plus grating shearing genuinely bypasses the streak camera—and the pump-probe cross-checks are convincing, but the headline 1.82x resolution gain is undercut by a mismatched baseline number and an unmeasured spectral-isolation margin. read the letter →

arxiv 2505.21086 v1 pith:7GBLUEEJ submitted 2025-05-27 physics.optics

Long Cheng , Dalong Qi , Jiali Yao , Ning Xu , Chengyu Zhou , Wenzhang Lin , Yu He , Zhen Pan

show 5 more authors

Yunhua Yao Lianzhong Deng Yuecheng Shen Zhenrong Sun Shian Zhang

This is my paper

classification physics.optics

keywords compressedultrafastphotographyall-opticaldiscreteilluminationFACEDsingle-shotimagingstreak-camera-freewavelength-taggedpulsetrainLiFstresswavesairplasmachannel

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

Compressed ultrafast photography normally uses a streak camera to shear the scene in time, but streak cameras blur and distort images through charge-coupling effects. The paper claims that this shearing can be done entirely optically instead: a FACED module stretches one femtosecond pulse into a train of wavelength-tagged sub-pulses, so a diffraction grating can separate the frames directly on a camera sensor. The resulting AOD-CUP system is reported to reach about 128 lp/mm spatial resolution, a 1.82x improvement over DI-CUP, and to record stress waves in LiF crystals and air plasma channels in a single shot with results matching pump-probe measurements. A sympathetic reader should care because, if the claim holds, single-shot ultrafast imaging no longer needs a streak camera, and frame spacing can be tuned from picoseconds to nanoseconds on the same setup.

What carries the argument

FACED (free-space angular-chirp-enhanced delay) is the core hardware element: a grating and a nearly parallel mirror pair with small misalignment $\alpha$ split a femtosecond pulse into $M = \Delta\theta/\alpha$ sub-pulses, with adjacent sub-pulse delay $\tau = 2S/c$ set by mirror separation $S$. Because each pass through the grating gives a different wavelength its own optical path, the sub-pulses are naturally wavelength-tagged. The second grating then performs what the streak camera used to do: it shears the wavelength-tagged frames across the camera sensor, so time becomes lateral position. The reconstruction engine is TV-CD, a plug-and-play iterative algorithm that alternates data fidelity with total-variation and three cascaded neural denoisers (FFDNet, DRUNet, FastDVDNet), which is how the 3D scene is recovered from one 2D exposure.

What would settle it

Record the FACED pulse train on the AOD-CUP camera with no dynamic scene and with only two adjacent sub-pulses transmitted. If the two resulting spots on the sensor are not separated by more than each spot's own width, the wavelength tagging is too coarse and inter-frame crosstalk is present. A second check: image a static USAF 1951 target and see whether copies of element 7-1 from adjacent sub-pulses appear as distinct separated patterns rather than a blended smear.

Watch

Extended reading notes

Core claim

The central claim is that a streak camera is not an essential component of compressed ultrafast photography: if the illumination itself is structured in time and wavelength, the temporal shearing can be performed optically. In AOD-CUP, a FACED module turns one ~50 fs, ~40 nm-bandwidth pulse into $M$ sub-pulses separated by $\tau = 2S/c$, each sub-pulse carrying a slightly different wavelength. A pseudo-random mask encodes the illuminated scene, and a diffraction grating maps wavelength to lateral position on an EMCCD, so frame $k$ lands at a different sensor column position. The compressed measurement is then inverted with a TV-CD plug-and-play solver. The paper reports that this architecture reaches roughly 128 lp/mm dynamic spatial resolution versus 45.3 lp/mm for DI-CUP, a factor of about 1.82, and that reconstructed stress-wave propagation in LiF (primary waves at 9.2 and 8.7 km/s along the two orientations, inner wave at 5.1 km/s) and air-plasma channel expansion (31.5 km/s) match pump-probe reference measurements.

Load-bearing premise

The load-bearing premise is that adjacent FACED sub-pulses differ in wavelength by more than the spectral resolution of the grating-relay-camera chain; the paper reports the resulting imaging performance but not the actual sub-pulse wavelength spacing or the measured margin.

Editorial extensions

If this is right

AOD-CUP removes the streak camera from CUP, eliminating charge-coupling image artifacts and replacing a costly vacuum tube with a grating and mirrors.
Frame count and inter-pulse interval are set by FACED geometry ($M = \Delta\theta/\alpha$, $\tau = 2S/c$), so one system can be retuned from picoseconds to nanoseconds without changing detectors.
The reported 128 lp/mm dynamic resolution, about 1.82 times DI-CUP's 45.3 lp/mm, shifts the practical bottleneck of CUP from the shearing device to illumination design and reconstruction.
Single-shot measurements of LiF stress waves give anisotropic speeds of 9.2 km/s along <100>, 8.7 km/s along <110>, and 5.1 km/s for the inner wave, consistent with pump-probe data.
Air plasma channel expansion at 31.5 km/s is captured in one snapshot set, showing picosecond-scale gas dynamics can be recorded without repetitive probing.

Reading between the lines

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

Not reported in the paper, the spectral spacing between adjacent FACED sub-pulses could be measured directly; publishing that margin against the grating's resolution would turn the 128 lp/mm resolution claim into a checkable number.
Because the pulse train already encodes wavelength, adding a spectral dimension to the reconstruction would plausibly yield snapshot hyperspectral movies; the paper does not attempt this.
The stress-wave and plasma movies reconstruct physical velocities that could be inverted for material parameters, such as elastic constants or plasma expansion energetics, directly from one shot, an analysis the authors leave implicit.

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Editorial analysis

A structured set of objections, weighed in public.

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

Desk Editor's Note

read the letter

The core idea is sound and worth taking seriously: replace the streak camera in CUP with FACED discrete illumination plus a grating for spectral shearing, so the time-to-space mapping is done all-optically. That combination is not in DI-CUP, CUST, or SCARF, and the paper demonstrates it on a static resolution target, a spatiotemporally chirped beam, LiF stress waves, and air plasma. The pump-probe comparisons in the LiF and plasma experiments are the strongest evidence—they show that the reconstructed dynamics track a conventional multi-exposure measurement, which is exactly what you want to see for a new compressed-imaging architecture. The frame-number and inter-frame-interval tunability is a genuine practical advantage over a streak camera. The writing is clear and the experimental section is mostly easy to follow.

The soft spots are real but probably fixable. First, the resolution claim: AOD-CUP is reported at ~128 lp/mm versus a quoted 45.3 lp/mm for DI-CUP, yet the paper calls that a ~1.82x improvement. 128/45.3 is 2.83x, not 1.82x. Either the wrong DI-CUP value is quoted or the multiplier is wrong; a direct side-by-side measurement under identical conditions would settle it. As written, the headline number is unreliable. Second, the stress-test concern about spectral isolation is legitimate. The FACED source gives about 3–4 nm spacing between sub-pulses across the 40 nm bandwidth, but the paper never reports the measured spectrum, the individual sub-pulse linewidth, or the spectral line-spread of the grating–relay–camera chain. The 2 nm bandpass filter used in the pump-probe comparison implies wavelength selectivity is at least plausible, but that does not calibrate crosstalk in the AOD-CUP imaging path itself. The 128 lp/mm static result could, in principle, be degraded if neighboring frames are partially mixed. That said, the dynamic consistency with pump-probe suggests the mixing is not catastrophic—so this is a missing calibration, not necessarily a fatal flaw. Third, no code or raw data are released, and the TV-CD algorithm has several tuned hyperparameters; “available upon request” is thin for a computational imaging paper.

Who gets value from this? Researchers working on compressed ultrafast photography and, more broadly, single-shot imaging will find the architecture interesting and the demonstrations useful, even if the exact resolution improvement needs correction. I would send this to peer review—the core idea is novel and the experiments are nontrivial—but I would insist on a direct resolution comparison and a characterization of the spectral isolation margin before publication. Once that is in place, I would cite it; as it stands, I would not cite the 1.82x number.

Referee Report

3 major / 6 minor

Summary. The paper proposes all-optical discrete illumination-based compressed ultrafast photography (AOD-CUP), which replaces the streak camera of conventional CUP with a FACED-generated pulse train and a diffraction grating that performs spectral shearing. The authors report reconstruction of a USAF resolution target at approximately 128 lp/mm, a claimed ~1.82x improvement over DI-CUP, and demonstrate the system on spatiotemporally chirped light fields, laser-induced stress waves in LiF crystals, and femtosecond-laser-induced air plasma channels. The LiF and plasma dynamics are validated against conventional pump-probe measurements. The forward model in Eq. (3) treats each FACED sub-pulse as an independent temporal frame mapped to a distinct sensor region by spectral dispersion, and reconstruction uses the TV-CD algorithm in a plug-and-play framework.

Significance. If the resolution and fidelity claims hold, AOD-CUP is a meaningful advance for single-shot ultrafast imaging: it avoids streak-camera charge-coupling artifacts, provides all-optical time-to-wavelength mapping with tunable frame number and inter-frame interval, and the pump-probe comparisons in Secs. 3c and 3d give concrete external validation of the dynamic imaging capability. The paper also presents a new application of FACED for illumination shaping in compressed ultrafast photography. However, the headline 128 lp/mm and 1.82x improvement over DI-CUP rest on unquantified spectral isolation between sub-pulses and on a quoted DI-CUP resolution value rather than a same-setup comparison, so the significance is conditional on additional calibration and direct comparative measurements.

major comments (3)

[Sec. 2a and Sec. 3a] The claimed ~128 lp/mm resolution and the high-fidelity frames rely on the assumption that adjacent FACED sub-pulses are spectrally separated enough to be isolated by the G2-L1-L2-EMCCD chain. The paper reports an 800 nm source with ~40 nm bandwidth and M = 12 sub-pulses (Sec. 2a), implying an average spacing of ~3-4 nm, but it never reports the measured FACED spectrum, the linewidth of individual sub-pulses, or the spectral line-spread function of the grating/relay/camera path. If the per-pulse bandwidth or grating blur is comparable to the ~3 nm spacing, inter-frame crosstalk will mix temporal frames and the resolved 7-1 element in Fig. 3 could reflect a time-averaged scene rather than a true single-frame resolution. I request a quantitative estimate or measurement of the spectral crosstalk matrix, for example using a narrowband filter or a tunable monochromatic source scanned across the FACED spectrum, to make the resolution claim falsifiable.
[Sec. 3a] The 1.82x resolution improvement over DI-CUP is based on a quoted 45.3 lp/mm value from a previous publication (Ref. 29) rather than on a DI-CUP measurement performed in the same setup, with the same objective, encoding mask, reconstruction algorithm, and resolution criterion. Since the AOD-CUP resolution is measured on a USAF target through the authors' own TV-CD reconstruction, the comparison is only meaningful if the DI-CUP value is re-measured under identical conditions. The current data do not establish the headline improvement within this manuscript; a direct side-by-side comparison is needed.
[Sec. 3c and Eq. (4)] The reconstruction parameters in Eq. (4) and the TV-CD algorithm (regularization parameter λ, noise standard deviation schedule σ, and iteration counts for each denoiser) are not specified in the text. The reported stress-wave velocities (9.2, 8.7, and 5.1 km/s) and the plasma expansion velocity (31.5 km/s) are extracted from reconstructed frames, so any regularization bias or residual inter-frame crosstalk could affect these values. The agreement with pump-probe is reassuring, but for reproducibility and to assess the sensitivity of the extracted velocities to reconstruction choices, the parameter values and any sensitivity analysis should be reported.

minor comments (6)

[Sec. 1 heading] The heading 'Introduciton' contains a typo and should read 'Introduction'.
[Sec. 3b] The phrase '5 over all the reconstructed images' appears to be a leftover fragment; it should be rewritten as 'Overall, the reconstructed images' or similar.
[Sec. 3c] In the sentence 'Subsequently, the pulses is focused into the interior of a LiF crystal', the subject-verb agreement is incorrect; it should be 'the pulse is focused'.
[Eq. (3) and Fig. 2] The operator S is described as a 'spatial shearing operation introduced by a diffraction grating', but in AOD-CUP the grating performs spectral dispersion that maps wavelength (hence time) to sensor position, which is conceptually different from the streak-camera shearing in conventional CUP. Clarifying this terminology would avoid confusion for readers familiar with CUP.
[Sec. 3a] The criterion used to assign the '128 lp/mm' resolution is not stated (for example, whether it is the Rayleigh criterion or a specific contrast threshold in the intensity profiles of Fig. 3(b)). Adding the quantitative criterion would make the resolution claim reproducible.
[Sec. 3a] The phrase 'a pseudo-random spatial encoding mask with 10 μm unit' should clarify whether the 10 μm refers to the mask pixel size or the projected unit cell on the object, since this affects the effective encoding resolution.

Circularity Check

0 steps flagged · score 2.0 of 10

No circular derivation is present; the only self-citation concern is the same group's TV-CD reconstruction algorithm, and it is not load-bearing because dynamic results are independently validated by pump-probe measurements and static-reference Fourier comparison.

full rationale

The claimed derivation chain is experimental rather than parameter-fitting: Eq. (3) writes the acquisition as E = TSCDI, where D, C, S, and T are physically defined operators (FACED pulse-train illumination, binary mask, grating shear, and integration), and the reconstruction minimizes ||E - TSCDI||_2^2 + lambda*Phi(I) instead of injecting the target scene. No reconstructed quantity is used as an input to the same equation. The 128 lp/mm spatial-resolution claim is read from a reconstructed USAF target and checked against the spatiotemporally integrated static image via 2D Fourier transforms (Fig. 3(d)-(e)), so it does not reduce to a fitted constant. The stress-wave velocities and plasma-expansion speeds are extracted from reconstructed frames, but they are compared with conventional pump-probe imaging in Figs. 5 and 6, which is an external benchmark independent of the compressed reconstruction. The only self-referential element is that the TV-CD reconstruction algorithm is cited from the same group's earlier work (ref. [33]) and is used to produce the images from which resolution is read; this is a minor self-citation, not a load-bearing circular step, because the pump-probe agreement and the static-reference Fourier comparison provide independent support. The unmeasured spectral spacing of FACED sub-pulses relative to the grating/detector passband is a legitimate correctness risk for inter-frame isolation, but it is not circularity: the wavelength-to-time mapping is a physical assumption, not an equation equivalent to its own output.

Assumptions & free parameters 3 free parameters · 4 assumptions · 0 invented entities

The central claims rest on the FACED device model, the linear forward model, spectral shearing resolvability, and the compressed sensing prior. Reconstruction hyperparameters are free choices that affect the reported image quality.

free parameters (3)

Regularization parameter lambda in Eq (4) = not reported
Balances data fidelity and prior; chosen manually, affects all reconstructed frames used for resolution and dynamics claims.
Noise standard deviation schedule sigma in TV-CD = not reported
Adaptively updated from residuals, but its schedule and range are not specified; directly shapes denoising strength.
Per-denoiser iteration counts for FFDNet, DRUNet, FastDVDNet = not reported
Each denoiser gets independent iteration counts; these are free choices influencing reconstruction quality and the measured 128 lp/mm.

assumptions (4)

domain assumption FACED generates a pulse train with M = Delta_theta / alpha sub-pulses and interval tau = 2S/c (Eqs. 1 and 2).
Taken from refs 30 and 32; the AOD-CUP architecture depends on this device model for discrete illumination.
domain assumption Forward model E = TSCDI in Eq (3) is linear and the illumination operator D matches the scene's temporal evolution.
No characterization of deviations from linearity or of the temporal overlap between adjacent sub-pulses is given.
domain assumption The diffraction grating shears each wavelength to a distinct spatial position, and the EMCCD resolves that shear.
Frame separation relies on this spectral-spatial mapping; the wavelength spacing of FACED sub-pulses is not measured.
standard math The dynamic scene is compressible under TV and deep denoiser priors, so the optimization in Eq (4) has an accurate solution.
Standard compressed sensing assumption; reconstruction quality depends on it.

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Cite this review

Pith. "Pith review of All-optical discrete illumination-based compressed ultrafast photography." pith.science (2026). https://pith.science/paper/7GBLUEEJ

@misc{pith2026250521086,
  author       = {Pith},
  title        = {Pith review of: All-optical discrete illumination-based compressed ultrafast photography},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/7GBLUEEJ}},
  note         = {Machine review of arXiv:2505.21086}
}

read the original abstract

Snapshot ultrafast optical imaging (SUOI) plays a vital role in capturing complex transient events in real time, with significant implications for both fundamental science and practical applications. As an outstanding talent in SUOI, compressed ultrafast photography (CUP) has demonstrated remarkable frame rate reaching trillions of frames per second and hundreds of sequence depth. Nevertheless, as CUP relies on streak cameras, the system's imaging fidelity suffers from an inevitable limitation induced by the charge coupling artifacts in a streak camera. Moreover, although advanced image reconstruction algorithms have improved the recovered scenes, its high compression ratio still causes a compromise in image quality. To address these challenges, we propose a novel approach termed all-optical discrete illumination compressed ultrafast photography (AOD-CUP), which employs a free-space angular-chirp-enhanced delay (FACED) technique to temporally stretch femtosecond pulses and achieves discrete illumination for dynamic scenes. With its distinctive system architecture, AOD-CUP features adjustable frame numbers and flexible inter-frame intervals ranging from picoseconds to nanoseconds, thereby achieving high-fidelity ultrafast imaging in a snapshot. Experimental results demonstrate the system's superior dynamic spatial resolution and its capability to visualize ultrafast phenomena with complex spatial details, such as stress wave propagation in LiF crystals and air plasma channel formation. These results highlight the potential of AOD-CUP for high-fidelity, real-time ultrafast imaging, which provides an unprecedented tool for advancing the frontiers of ultrafast science.

Figures

Figures reproduced from arXiv: 2505.21086 by the authors.

**Figure 5.** AOD-CUP imaging of LiF crystals in different crystal directions excited by ultrafast laser pulses. (a) Experimental configuration; HWP: half-wave plate, P: polarizer, OL: objective lens, BS: beam splitter. (b) Reconstructed results of AOD-CUP in the (100) orientation compared with pumpprobe results; (c) Same as (b) for (110) orientation; (d) Temporal evolution of the primary stress wave in the (100) and (110) orien… view at source ↗

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Works this paper leans on

44 extracted references · 44 canonical work pages

[1]

Single-shot ultrafast optical imaging,

J. Liang, and L. V . Wang, "Single-shot ultrafast optical imaging," Optica 5, 1113-1127 (2018)

work page 2018
[2]

Real-time femtosecond probing of‘‘transition states’’ in chemical reactions,

M. Dantus, M. J. Rosker, and A. H. Zewail, "Real-time femtosecond probing of‘‘transition states’’ in chemical reactions," The Journal of Chemical Physics 87, 2395 (1987)

work page 1987
[3]

Optical dark rogue wave,

B. Frisquet, B. Kibler, P. Morin et al., "Optical dark rogue wave," Scientific Reports 6, 20785 (2016)

work page 2016
[4]

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging,

X. Feng, and L. Gao, "Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging," Nature communications 12, 2179 (2021)

work page 2021
[5]

Time -resolved tomography of ultrafast laser -matter interaction,

K. Bergner, D. Flamm, M. Jenne et al., "Time -resolved tomography of ultrafast laser -matter interaction," Optics Express 26, 2873-2883 (2018)

work page 2018
[6]

Capturing Transient Events in Series: A Review of Framing Photography,

Y . Yao, X. Liu, D. Qi et al., "Capturing Transient Events in Series: A Review of Framing Photography," Laser & Photonics Reviews 18, 2400219 (2024)

work page 2024
[7]

Sequentially timed all -optical mapping photography (STAMP),

K. Nakagawa, A. Iwasaki, Y . Oishi et al., "Sequentially timed all -optical mapping photography (STAMP)," Nature Photonics 8, 695-700 (2014)

work page 2014
[8]

High -spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification,

X. Zeng, S. Zheng, Y . Cai et al., "High -spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification," Advanced Photonics 2, 056002 (2020)

work page 2020

Show all 44 references

[9]

FRAME: femtosecond videography for atomic and molecular dynamics,

A. Ehn, J. Bood, Z. Li et al., "FRAME: femtosecond videography for atomic and molecular dynamics," Light: Science & Applications 6, e17045-e17045 (2017)

2017
[10]

Single-shot compressed ultrafast photography at one hundred billion frames per second,

L. Gao, J. Liang, C. Li et al., "Single-shot compressed ultrafast photography at one hundred billion frames per second," Nature 516, 74-77 (2014)

2014
[11]

Single-shot compressed ultrafast photography: a review,

D. Qi, S. Zhang, C. Yang et al., "Single-shot compressed ultrafast photography: a review," Advanced Photonics 2, 014003-014003 (2020)

2020
[12]

Compressed ultrafast spectral-temporal photography,

Y . Lu, T. T. Wong, F. Chen et al., "Compressed ultrafast spectral-temporal photography," Physical Review Letters 122, 193904 (2019)

2019
[13]

Swept coded aperture real -time femtophotography,

J. Liu, M. Marquez, Y . Lai et al., "Swept coded aperture real -time femtophotography," Nature communications 15, 1589 (2024)

2024
[14]

Guide to streak cameras,

"Guide to streak cameras," https://www.hamamatsu.com/content/dam/hamamatsu- photonics/sites/documents/99_SALES_LIBRARY/sys/SHSS0006E_STREAK.pdf
[15]

Continuously streaming compressed high-speed photography using time delay integration,

J. Park, and L. Gao, "Continuously streaming compressed high-speed photography using time delay integration," Optica 8, 1620-1623 (2021)

2021
[16]

100 -trillion-frame-per-second s ingle-shot compressed ultrafast photography via molecular alignment,

D. Qi, F. Cao, S. Xu et al., "100 -trillion-frame-per-second s ingle-shot compressed ultrafast photography via molecular alignment," Physical Review Applied 15, 024051 (2021)

2021
[17]

Single‐shot reconfigurable femtosecond imaging of ultrafast optical dynamics,

P. Wang, and L. V . Wang, "Single‐shot reconfigurable femtosecond imaging of ultrafast optical dynamics," Advanced Science 10, 2207222 (2023)

2023
[18]

Single-shot spectral-volumetric compressed ultrafast photography,

P. Ding, Y . Yao, D. Qi et al., "Single-shot spectral-volumetric compressed ultrafast photography," Advanced Photonics 3, 045001 (2021)

2021
[19]

Single -shot intensity-and phase-sensitive compressive sensing -based coherent modulation ultrafast imaging,

C. Jin, Y . Xu, D. Qi et al., "Single -shot intensity-and phase-sensitive compressive sensing -based coherent modulation ultrafast imaging," Physical Review Letters 132, 173801 (2024)

2024
[20]

Single-shot stereo-polarimetric compressed ultrafast photography for light-speed observation of high -dimensional optical transients with pi cosecond resolution,

J. Liang, P. Wang, L. Zhu et al., "Single-shot stereo-polarimetric compressed ultrafast photography for light-speed observation of high -dimensional optical transients with pi cosecond resolution," Nature communications 11, 5252 (2020)

2020
[21]

Single -shot real-time video recording of a photonic Mach cone induced by a scattered light pulse,

J. Liang, C. Ma, L. Zhu et al., "Single -shot real-time video recording of a photonic Mach cone induced by a scattered light pulse," Science Advances 3, e1601814 (2017)

2017
[22]

Picosecond -resolution phase -sensitive imaging of transparent objects in a single shot,

T. Kim, J. Liang, L. Zhu et al., "Picosecond -resolution phase -sensitive imaging of transparent objects in a single shot," Science Advances 6, eaay6200 (2020)

2020
[23]

Single-shot real-time imaging of ultrafast light springs,

C. Jin, D. Qi, Y . Yao et al., "Single-shot real-time imaging of ultrafast light springs," Science China Physics, Mechanics & Astronomy 64, 124212 (2021)

2021
[24]

Fast wide-field upconversion luminescence lifetime thermometry enabled by single-shot compressed ultrahigh-speed imaging,

X. Liu, A. Skripka, Y . Lai et al., "Fast wide-field upconversion luminescence lifetime thermometry enabled by single-shot compressed ultrahigh-speed imaging," Nature communications 12, 6401 (2021)

2021
[25]

Weighted multi-scale denoising via adaptive multi -channel fusion for compressed ultrafast photography,

C. Jin, D. Qi, J. Yao et al., "Weighted multi-scale denoising via adaptive multi -channel fusion for compressed ultrafast photography," Optics Express 30, 31157-31170 (2022)

2022
[26]

High -fidelity image reconstruction for compressed ul trafast photography via an augmented-Lagrangian and deep-learning hybrid algorithm,

C. Yang, Y . Yao, C. Jin et al., "High -fidelity image reconstruction for compressed ul trafast photography via an augmented-Lagrangian and deep-learning hybrid algorithm," Photonics Research 9, B30-B37 (2021)

2021
[27]

Optimizing codes for compressed ultrafast photography by the genetic algorithm,

C. Yang, D. Qi, X. Wang et al., "Optimizing codes for compressed ultrafast photography by the genetic algorithm," Optica 5, 147-151 (2018)

2018
[28]

High -frequency enhanced ultrafast compressed active photography,

Y . Meng, Y . Lu, P. Zhang et al., "High -frequency enhanced ultrafast compressed active photography," Opto-Electronic Advances 8, 240180-240181-240180-240112 (2025)

2025
[29]

Discrete Illumination ‐Based Compressed Ultrafast Photography for High‐Fidelity Dynamic Imaging,

J. Yao, Z. Guo, D. Qi et al., "Discrete Illumination ‐Based Compressed Ultrafast Photography for High‐Fidelity Dynamic Imaging," Advanced Science 11, 2403854 (2024)

2024
[30]

Ultrafast laser -scanning time -stretch imaging at visible wavelengths,

J. L . Wu , Y. Q. Xu, J. J. Xu et al., "Ultrafast laser -scanning time -stretch imaging at visible wavelengths," Light: Science & Applications 6, e16196-e16196 (2017)

2017
[31]

Observation of laser-induced stress waves and mechanism of structural changes inside rock-salt crystals,

M. Sakakura, T. Tochio, M. Eida et al., "Observation of laser-induced stress waves and mechanism of structural changes inside rock-salt crystals," Optics Express 19, 17780-17789 (2011)

2011
[32]

Real-time spectral analysis of ultrafast pulses using a free-space angular chirp-enhanced delay,

Y . Xu, and S. G. Murdoch, "Real-time spectral analysis of ultrafast pulses using a free-space angular chirp-enhanced delay," Optics Letters 44, 3697-3700 (2019)

2019
[33]

Flexible and accurate total variation and cascaded denoiser s-based image reconstruction algorithm for hyperspectrally compressed ultrafast photography,

Z. Guo, J. Yao, D. Qi et al., "Flexible and accurate total variation and cascaded denoiser s-based image reconstruction algorithm for hyperspectrally compressed ultrafast photography," Optics Express 31, 43989-44003 (2023)

2023
[34]

FFDNet: Toward a fast and flexible solution for CNN -based image denoising,

K. Zhang, W. Zuo, and L. Zhang, "FFDNet: Toward a fast and flexible solution for CNN -based image denoising," IEEE Transactions on Image Processing 27, 4608-4622 (2018)

2018
[35]

Plug-and-play image restoration with deep denoiser prior,

K. Zhang, Y . Li, W. Zuo et al., "Plug-and-play image restoration with deep denoiser prior," IEEE Transactions on Pattern Analysis and Machine Intelligence 44, 6360-6376 (2021)

2021
[36]

Dvdnet: A fast network for deep video denoising,

M. Tassano, J. Delon, and T. Veit, "Dvdnet: A fast network for deep video denoising," in 2019 IEEE International Conference on Image Processing (ICIP)(IEEE2019), pp. 1805-1809

2019
[37]

Review on Principal and Applications of Temporal and Spatial Beam Shaping for Ultrafast Pulsed Laser,

J. H. Kim, and H. W. Choi, "Review on Principal and Applications of Temporal and Spatial Beam Shaping for Ultrafast Pulsed Laser," in Photonics(MDPI2024), p. 1140
[38]

Four -dimensional light shaping: manipulating ultrafast spatiotemporal foci in space and time,

B. Sun, P. S. Salter, C. Roider et al., "Four -dimensional light shaping: manipulating ultrafast spatiotemporal foci in space and time," Light: Science & Applications 7, 17117-17117 (2018)

2018
[39]

On the dislocation theory of plastic deformation,

J. Koehler, "On the dislocation theory of plastic deformation," Physical Review 60, 397 (1941)

1941
[40]

Transient stress imaging after irradiation with a focused femtosecond laser pulse inside a single crystal,

T. Tochio, M. Sakakura, Y . Shimotsuma et al., "Transient stress imaging after irradiation with a focused femtosecond laser pulse inside a single crystal," Japanese Journal of Applied Physics 51, 126602 (2012)

2012
[41]

Super-luminescent jet light generated by femtosecond laser pulses,

Z. Xu, X. Zhu, Y . Yu et al., "Super-luminescent jet light generated by femtosecond laser pulses," Scientific Reports 4, 3892 (2014)

2014
[42]

Time -Resolved Shadowgraphs of Material Ejection in Intense Femtosecond Laser Ablation of Aluminum,

N. Zhang, X. Zhu, J. Yang et al., "Time -Resolved Shadowgraphs of Material Ejection in Intense Femtosecond Laser Ablation of Aluminum," Physical Review Letters 99, 167602 (2007)

2007
[43]

Imaging the ultrafast Kerr effect, free carrier generation, relaxati on and ablation dynamics of Lithium Niobate irradiated with femtosecond laser pulses,

M. Garcia-Lechuga, J. Siegel, J. Hernandez -Rueda et al., "Imaging the ultrafast Kerr effect, free carrier generation, relaxati on and ablation dynamics of Lithium Niobate irradiated with femtosecond laser pulses," Journal of Applied Physics 116 (2014)

2014
[44]

Single-shot ultrafast sequential holographic imaging with high temporal resolution and a large field of view,

H. Y . Huang, Z. J. Cheng, Y . Yang et al., "Single-shot ultrafast sequential holographic imaging with high temporal resolution and a large field of view," Optics Letters 44, 4885-4888 (2019)

2019

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.

[1] [1]

Single-shot ultrafast optical imaging,

J. Liang, and L. V . Wang, "Single-shot ultrafast optical imaging," Optica 5, 1113-1127 (2018)

work page 2018

[2] [2]

Real-time femtosecond probing of‘‘transition states’’ in chemical reactions,

M. Dantus, M. J. Rosker, and A. H. Zewail, "Real-time femtosecond probing of‘‘transition states’’ in chemical reactions," The Journal of Chemical Physics 87, 2395 (1987)

work page 1987

[3] [3]

Optical dark rogue wave,

B. Frisquet, B. Kibler, P. Morin et al., "Optical dark rogue wave," Scientific Reports 6, 20785 (2016)

work page 2016

[4] [4]

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging,

X. Feng, and L. Gao, "Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging," Nature communications 12, 2179 (2021)

work page 2021

[5] [5]

Time -resolved tomography of ultrafast laser -matter interaction,

K. Bergner, D. Flamm, M. Jenne et al., "Time -resolved tomography of ultrafast laser -matter interaction," Optics Express 26, 2873-2883 (2018)

work page 2018

[6] [6]

Capturing Transient Events in Series: A Review of Framing Photography,

Y . Yao, X. Liu, D. Qi et al., "Capturing Transient Events in Series: A Review of Framing Photography," Laser & Photonics Reviews 18, 2400219 (2024)

work page 2024

[7] [7]

Sequentially timed all -optical mapping photography (STAMP),

K. Nakagawa, A. Iwasaki, Y . Oishi et al., "Sequentially timed all -optical mapping photography (STAMP)," Nature Photonics 8, 695-700 (2014)

work page 2014

[8] [8]

High -spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification,

X. Zeng, S. Zheng, Y . Cai et al., "High -spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification," Advanced Photonics 2, 056002 (2020)

work page 2020