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Meng YZ, Lu Y, Zhang PF et al. High-frequency enhanced ultrafast compressed active photography. Opto-Electron Adv 8, 240180 (2025). doi: 10.29026/oea.2025.240180
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High-frequency enhanced ultrafast compressed active photography
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Abstract
Single-shot ultrafast compressed imaging (UCI) is an effective tool for studying ultrafast dynamics in physics, chemistry, or material science because of its excellent high frame rate and large frame number. However, the random code (R-code) used in traditional UCI will lead to low-frequency noise covering high-frequency information due to its uneven sampling interval, which is a great challenge in the fidelity of large-frame reconstruction. Here, a high-frequency enhanced compressed active photography (H-CAP) is proposed. By uniformizing the sampling interval of R-code, H-CAP capture the ultrafast process with a random uniform sampling mode. This sampling mode makes the high-frequency sampling energy dominant, which greatly suppresses the low-frequency noise blurring caused by R-code and achieves high-frequency information of image enhanced. The superior dynamic performance and large-frame reconstruction ability of H-CAP are verified by imaging optical self-focusing effect and static object, respectively. We applied H-CAP to the spatial-temporal characterization of double-pulse induced silicon surface ablation dynamics, which is performed within 220 frames in a single-shot of 300 ps. H-CAP provides a high-fidelity imaging method for observing ultrafast unrepeatable dynamic processes with large frames. -
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References
[1] Couairon A, Mysyrowicz A. Femtosecond filamentation in transparent media. Phys Rep 441, 47–189 (2007). doi: 10.1016/j.physrep.2006.12.005 [2] Balachninaitė O, Skruibis J, Matijošius A et al. Temporal and spatial properties of plasma induced by infrared femtosecond laser pulses in air. Plasma Sources Sci Technol 31, 045001 (2022). doi: 10.1088/1361-6595/ac5c62 [3] Liu XL, Lu X, Liu X et al. Tightly focused femtosecond laser pulse in air: from filamentation to breakdown. Opt Express 18, 26007–26017 (2010). doi: 10.1364/OE.18.026007 [4] Bhuyan MK, Soleilhac A, Somayaji M et al. High fidelity visualization of multiscale dynamics of laser-induced bubbles in liquids containing gold nanoparticles. Sci Rep 8, 9665 (2018). doi: 10.1038/s41598-018-27663-z [5] Ivanov DS, Zhigilei LV. Combined atomistic-continuum modeling of short-pulse laser melting and disintegration of metal films. Phys Rev B 68, 064114 (2003). doi: 10.1103/PhysRevB.68.064114 [6] Garcia-Lechuga M, Siegel J, Hernandez-Rueda J et al. Femtosecond laser ablation of dielectric materials in the optical breakdown regime: expansion of a transparent shell. Appl Phys Lett 105, 112902 (2014). doi: 10.1063/1.4895926 [7] Kasparian J, Rodriguez M, Méjean G et al. White-light filaments for atmospheric analysis. Science 301, 61–64 (2003). doi: 10.1126/science.1085020 [8] Ashiq MGB, Saeed MA, Tahir BA et al. Breast cancer therapy by laser-induced Coulomb explosion of gold nanoparticles. Chin J Cancer Res 25, 756–761 (2013). [9] Costache F, Reif J. Femtosecond laser induced Coulomb explosion from calcium fluoride. Thin Solid Films 453–454, 334–339 (2004). [10] Carrasco-García I, Vadillo JM, Javier Laserna J. Visualization of surface transformations during laser ablation of solids by femtosecond pump–probe time-resolved microscopy. Spectrochim Acta Part B At Spectrosc 113, 30–36 (2015). doi: 10.1016/j.sab.2015.08.009 [11] Fang R, Vorobyev A, Guo CL. Direct visualization of the complete evolution of femtosecond laser-induced surface structural dynamics of metals. Light Sci Appl 6, e16256 (2017). [12] Wang QS, Jiang L, Sun JY et al. Structure-mediated excitation of air plasma and silicon plasma expansion in femtosecond laser pulses ablation. Research 2018, 5709748 (2018). [13] Zewail AH. Laser femtochemistry. Science 242, 1645–1653 (1988). doi: 10.1126/science.242.4886.1645 [14] Ehn A, Bood J, Li ZM et al. FRAME: femtosecond videography for atomic and molecular dynamics. Light Sci Appl 6, e17045 (2017). doi: 10.1038/lsa.2017.45 [15] Zeng XK, Zheng SQ, Cai Y et al. High-spatial-resolution ultrafast framing imaging at 15 trillion frames per second by optical parametric amplification. Adv Photonics 2, 056002 (2020). [16] Ding PP, Qi DL, Yao YH et al. Single-shot polarization-resolved ultrafast mapping photography. Sci Bull 68, 473–476 (2023). doi: 10.1016/j.scib.2023.02.026 [17] Nakagawa K, Iwasaki A, Oishi Y et al. Sequentially timed all-optical mapping photography (STAMP). Nat Photonics 8, 695–700 (2014). doi: 10.1038/nphoton.2014.163 [18] Donoho DL. Compressed sensing. IEEE Trans Inf Theory 52, 1289–1306 (2006). doi: 10.1109/TIT.2006.871582 [19] Yuan X, Brady DJ, Katsaggelos AK. Snapshot compressive imaging: theory, algorithms, and applications. IEEE Signal Process Mag 38, 65–88 (2021). [20] Yuan X, Wu ZL, Luo T. Coded aperture snapshot spectral imager. In Liang JY. Coded Optical Imaging 533–547 (Springer, Cham, 2024). [21] Lu Y, Wong TTW, Chen F et al. Compressed ultrafast spectral-temporal photography. Phys Rev Lett 122, 193904 (2019). doi: 10.1103/PhysRevLett.122.193904 [22] Liu JD, Marquez M, Lai YM et al. Swept coded aperture real-time femtophotography. Nat Commun 15, 1589 (2024). doi: 10.1038/s41467-024-45820-z [23] Wang P, Wang LV. Single‐shot reconfigurable femtosecond imaging of ultrafast optical dynamics. Adv Sci 10, 2207222 (2023). doi: 10.1002/advs.202207222 [24] Liang JY, Zhu LR, Wang LV. Single-shot real-time femtosecond imaging of temporal focusing. Light Sci Appl 7, 42 (2018). doi: 10.1038/s41377-018-0044-7 [25] Tang HC, Men T, Liu XL et al. Single-shot compressed optical field topography. Light Sci Appl 11, 244 (2022). doi: 10.1038/s41377-022-00935-0 [26] Meng YZ, Liu Y, Yin F et al. High-channel spectral-temporal active recording (H-STAR) for femtosecond scenes observation in a single-shot. ACS Photonics 11, 419–427 (2024). [27] Yang CS, Qi DL, Liang JY et al. Compressed ultrafast photography by multi-encoding imaging. Laser Phys Lett 15, 116202 (2018). doi: 10.1088/1612-202X/aae198 [28] Jing JC, Wei XM, Wang LV. Spatio-temporal-spectral imaging of non-repeatable dissipative soliton dynamics. Nat Commun 11, 2059 (2020). doi: 10.1038/s41467-020-15900-x [29] Liang JY, Ma C, Zhu LR et al. Single-shot real-time video recording of a photonic Mach cone induced by a scattered light pulse. Sci Adv 3, e1601814 (2017). doi: 10.1126/sciadv.1601814 [30] Zhu LR, Chen YJ, Liang JY et al. Space- and intensity-constrained reconstruction for compressed ultrafast photography. Optica 3, 694–697 (2016). doi: 10.1364/OPTICA.3.000694 [31] Wang P, Liang JY, Wang LV. Single-shot ultrafast imaging attaining 70 trillion frames per second. Nat Commun 11, 2091 (2020). doi: 10.1038/s41467-020-15745-4 [32] McCool M, Fiume E. Hierarchical Poisson disk sampling distributions. In Proceedings of the Conference on Graphics Interface '92 94–105 (Morgan Kaufmann Publishers Inc. , 1992 [33] Cook RL. Stochastic sampling in computer graphics. ACM Trans Graph 5, 51–72 (1986). doi: 10.1145/7529.8927 [34] Yellott JI. Spectral consequences of photoreceptor sampling in the rhesus retina. Science 221, 382–385 (1983). doi: 10.1126/science.6867716 [35] Ulichney RA. Void-and-cluster method for dither array generation. Proc SPIE 1913, 332–343 (1993). doi: 10.1117/12.152707 [36] Wang L, Ho PP, Liu C et al. Ballistic 2-D imaging through scattering walls using an ultrafast optical Kerr gate. Science 253, 769–771 (1991). doi: 10.1126/science.253.5021.769 [37] Leuthold J, Koos C, Freude W. Nonlinear silicon photonics. Nat Photonics 4, 535–544 (2010). doi: 10.1038/nphoton.2010.185 [38] Wang HY, De Mello Donegá C, Meijerink A et al. Ultrafast exciton dynamics in CdSe quantum dots studied from bleaching recovery and fluorescence transients. J Phys Chem B 110, 733–737 (2006). doi: 10.1021/jp055795g [39] Chen ZC, Jiang L, Lian YL et al. Enhancement of ablation and ultrafast electron dynamics observation of nickel-based superalloy under double-pulse ultrashort laser irradiation. J Mater Res Technol 21, 4253–4262 (2022). doi: 10.1016/j.jmrt.2022.11.005 [40] Chowdhury IH, Xu XF, Weiner AM. Ultrafast double-pulse ablation of fused silica. Appl Phys Lett 86, 151110 (2005). doi: 10.1063/1.1901806 [41] Lian YL, Jiang L, Sun JY et al. Ultrafast quasi-three-dimensional imaging. Int J Extrem Manuf 5, 045601 (2023). doi: 10.1088/2631-7990/ace944 [42] Feng T, Chen G, Han HN et al. Femtosecond-laser-ablation dynamics in silicon revealed by transient reflectivity change. Micromachines 13, 14 (2021). doi: 10.3390/mi13010014 [43] Zhao X, Shin YC. Ablation enhancement of silicon by ultrashort double-pulse laser ablation. Appl Phys Lett 105, 111907 (2014). doi: 10.1063/1.4896350 [44] Kudryashov SI, Samokhvalov AA, Golubev YD et al. Dynamic all-optical control in ultrashort double-pulse laser ablation. Appl Surf Sci 537, 147940 (2021). doi: 10.1016/j.apsusc.2020.147940 [45] Yang CS, Qi DL, Wang X et al. Optimizing codes for compressed ultrafast photography by the genetic algorithm. Optica 5, 147–151 (2018). doi: 10.1364/OPTICA.5.000147 [46] Marquez M, Balistreri G, Morandotti R et al. Metalens-based compressed ultracompact femtophotography: analytical modeling and simulations. Ultrafast Sci 4, 0052 (2024). doi: 10.34133/ultrafastscience.0052 [47] Tang HC, Marquez M, Men T et al. Temporal resolution of ultrafast compressive imaging using a single-chirped optical probe. Opt Lett 48, 6080–6083 (2023). doi: 10.1364/OL.505260 [48] Sun FG, Jiang ZP, Zhang XC. Analysis of terahertz pulse measurement with a chirped probe beam. Appl Phys Lett 73, 2233–2235 (1998). doi: 10.1063/1.121685 -
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Supplementary information for High-frequency enhanced ultrafast compressed active photography
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Meng YZ, Lu Y, Zhang PF et al. High-frequency enhanced ultrafast compressed active photography. Opto-Electron Adv 8, 240180 (2025). doi: 10.29026/oea.2025.240180
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Figure 1.
The optical setup and principle of high-frequency enhanced compressed active photography (H-CAP). (a) The optical setup of the H-CAP system. (b) The sampling principle of R-code and (c) H-code in the spatial and frequency domain. (d) The ultrafast phenomena are reconstructed from the compressed image by using a reconstruction algorithm.
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Figure 2.
Simulation results of H-code and R-code. (a) Forward model of high-channel photography. (b) The compressed images of 200 frames collected under different codes and corresponding Fourier transform. (c) Reconstruction results of light reflection under different codes. (d) The comparison of the light intensity center extracted from the reconstruction results of H-code and R-code with the original data. (e) The beam length calculated according to the reconstruction results of different codes.
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Figure 3.
Characterization of static experimental results. (a) The original image of the object. (b) The compressed image of the object with 100 frames. (c) Reconstruction results of ‘UPL’ and ‘Laser’ under different captured frames. (d) The correlation between the reconstruction result in (c) and the original object. (e) Reconstruction results of the resolution target under different captured frames. (f) The intensity curves of vertical stripes in (e).
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Figure 4.
Imaging of the self-focusing of optical pulses in Kerr medium. (a) The experimental schematic of optical pulse self-focusing. (b) Reconstruction results of optical pulse self-focusing under different codes. (c) Scatter plot of spots along x direction and corresponding Gaussian fitting curves (every 8 frames in the reconstruction results of H-code). (d) Scatter plot of transverse spot sizes and corresponding Gaussian fitting curves (every 8 frames in the reconstruction results of R-code). (e) The velocity of beam in CS2 is calculated according to (c) and (d). (f) The intensity curves of the spot along the y direction. (g) The variation of beam width with travel time (according to the full width at half maximum (FWHM) of the curve in (f)). The red box indicates the self-focusing area.
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Figure 5.
Double-pump pulse induced ultrafast ablation process of silicon surface. (a−c) The reconstructed dynamic process of the double-pulse ablation of silicon surface when the inter-pulse delay time τ is 0 ps, 6.7 ps and 13.3 ps. (d) The curves of the relative reflectivity of the center of the excitation region over time under different pulse delay. (e) The change on the depth of the ablation area with the number of shots when the delay between pulses is 6.7 ps and the observation time is 260 ps.
