Upconversion edge imaging using single-beam second-harmonic generation

Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silicon-based detectors. However, single-beam nonlinear imaging is often hampered by self-convolution effects in the spatial frequency domain (Fourier plane), leading to the loss of fundamental structural information. To circumvent this image degradation, upconversion edge imaging has traditionally required complex dual-beam configurations. Here, we demonstrate a single-beam nonlinear upconversion edge imaging scheme utilizing multilayer GaSe. By sequentially combining linear spatial filtering at the Fourier plane with frequency upconversion in real space, we successfully transform the NIR illumination into visible edge images. This approach achieves high-fidelity and high-resolution edge detection without the need for reference beams or stringent spatiotemporal alignment. Given that two-dimensional crystals bypass traditional phase-matching constraints, this compact and stable architecture provides a promising pathway for broadband, real-time infrared image processing and miniaturized optical computing.

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Publication Details

Journal
Applied Physics Letters
Published
2026-09-14
DOI
https://doi.org/10.1063/5.0353623
Primary Topic
Photorefractive and Nonlinear Optics
Type
article
Field-Weighted Citation Impact
0.00

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article

Upconversion edge imaging using single-beam second-harmonic generation

Dandan Wen, Sheng Liu, Mingwen Zhang, S. B. Wang et al.
Applied Physics Letters
Photorefractive and Nonlinear Optics
article

Upconversion edge imaging using single-beam second-harmonic generation

Dandan Wen, Sheng Liu, Mingwen Zhang, S. B. Wang, Yi Zhang, Xuetao Gan, Mengzi Yin, Peng Li, Jianlin Zhao, Hong Wang
article en

Abstract

Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silicon-based detectors. However, single-beam nonlinear imaging is often hampered by self-convolution effects in the spatial frequency domain (Fourier plane), leading to the loss of fundamental structural information. To circumvent this image degradation, upconversion edge imaging has traditionally required complex dual-beam configurations. Here, we demonstrate a single-beam nonlinear upconversion edge imaging scheme utilizing multilayer GaSe. By sequentially combining linear spatial filtering at the Fourier plane with frequency upconversion in real space, we successfully transform the NIR illumination into visible edge images. This approach achieves high-fidelity and high-resolution edge detection without the need for reference beams or stringent spatiotemporal alignment. Given that two-dimensional crystals bypass traditional phase-matching constraints, this compact and stable architecture provides a promising pathway for broadband, real-time infrared image processing and miniaturized optical computing.

Applied Physics LettersVol. 129(11)
Northwestern Polytechnical University (CN), Shaanxi University of Science and Technology (CN), Ministry of Industry and Information Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Photorefractive and Nonlinear Optics
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