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News and Commentaries
Toward infrared spectral imaging at high resolution and high sensitivity
Andrius Baltuška
The article comments on a significant breakthrough in detecting mid-infrared light at low photon counts.The article comments on a significant breakthrough in detecting mid-infrared light at low photon counts..
Advanced Photonics
- Publication Date: Jan. 08, 2025
- Vol. 7, Issue 1, 010501 (2025)
Research Articles
All-optical spatiotemporal oscilloscope for few-cycle optical waveform
Qi Zeng, Xinyue Yang, Yimin Deng, Wei Cao, and Peixiang Lu
The advancement of ultrafast science necessitates diagnostic techniques capable of higher precision and increased dimensionality for few-cycle pulses. As pulses continue to shorten temporally and broaden spectrally, the temporal and spatial components become inseparable. Consequently, many established techniques fall sThe advancement of ultrafast science necessitates diagnostic techniques capable of higher precision and increased dimensionality for few-cycle pulses. As pulses continue to shorten temporally and broaden spectrally, the temporal and spatial components become inseparable. Consequently, many established techniques fall short of accurately diagnosing both the temporal and spatial characteristics of pulses. We propose an all-optical spatiotemporal oscilloscope to comprehensively characterize the waveform of few-cycle pulses. By introducing a spatiotemporal perturbing pulse to influence high-harmonic (HH) generation, the frequency of the radiating HHs oscillates with variations in the delay between the pulses. This spatially dependent frequency oscillation of the HHs enables the reconstruction of the temporal and spatial details of the perturbing pulse. This method provides a straightforward and reliable strategy for multidimensional waveform characterization of few-cycle pulses, with potential applications in probing ultrafast dynamical processes carrying spatiotemporal information..
Advanced Photonics
- Publication Date: Dec. 23, 2024
- Vol. 7, Issue 1, 016001 (2025)
Errata
(Erratum) Deep-learning-driven end-to-end metalens imaging
Joonhyuk Seo, Jaegang Jo, Joohoon Kim, Joonho Kang, Chanik Kang, Seong-Won Moon, Eunji Lee, Jehyeong Hong, Junsuk Rho, and Haejun Chung
This erratum notes a correction to a grant number listed in the Acknowledgments section of the originally published article.This erratum notes a correction to a grant number listed in the Acknowledgments section of the originally published article..
Advanced Photonics
- Publication Date: Jan. 15, 2025
- Vol. 7, Issue 1, 019801 (2025)