Contents
2024
Volume: 6 Issue 6
9 Article(s)
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News and Commentaries
Three decades riding the photonic crystal fiber wave: an interview with Prof. Philip Russell
Long Zhang
Prof. Philip Russell (Max Planck Institute for the Science of Light) discusses the development of photonic crystal fibers, in a conversation with Prof. Long Zhang (Chinese Academy of Sciences).Prof. Philip Russell (Max Planck Institute for the Science of Light) discusses the development of photonic crystal fibers, in a conversation with Prof. Long Zhang (Chinese Academy of Sciences)..
Advanced Photonics
- Publication Date: Oct. 11, 2024
- Vol. 6, Issue 6, 060501 (2024)
Breaking the diffraction limit for label-free chemical imaging
Haonan Lin, and Ji-Xin Cheng
Label-free vibrational stimulated Raman microscopy surpasses the diffraction limit by employing structured illumination, opening new avenues for super-resolution imaging of biological targets.Label-free vibrational stimulated Raman microscopy surpasses the diffraction limit by employing structured illumination, opening new avenues for super-resolution imaging of biological targets..
Advanced Photonics
- Publication Date: Sep. 23, 2024
- Vol. 6, Issue 6, 060502 (2024)
Quantum leap: observing antiferromagnetic transition in a 3D fermionic Hubbard model with ultracold atoms
Laraib Niaz, and Alex Krasnok
The commentary examines a recent advancement in quantum simulations.The commentary examines a recent advancement in quantum simulations..
Advanced Photonics
- Publication Date: Oct. 22, 2024
- Vol. 6, Issue 6, 060503 (2024)
Reviews
Cross-modality transformations in biological microscopy enabled by deep learning
Dana Hassan, Jesús Domínguez, Benjamin Midtvedt, Henrik Klein Moberg, Jesús Pineda, Christoph Langhammer, Giovanni Volpe, Antoni Homs Corbera, and Caroline B. Adiels
Recent advancements in deep learning (DL) have propelled the virtual transformation of microscopy images across optical modalities, enabling unprecedented multimodal imaging analysis hitherto impossible. Despite these strides, the integration of such algorithms into scientists’ daily routines and clinical trials remainRecent advancements in deep learning (DL) have propelled the virtual transformation of microscopy images across optical modalities, enabling unprecedented multimodal imaging analysis hitherto impossible. Despite these strides, the integration of such algorithms into scientists’ daily routines and clinical trials remains limited, largely due to a lack of recognition within their respective fields and the plethora of available transformation methods. To address this, we present a structured overview of cross-modality transformations, encompassing applications, data sets, and implementations, aimed at unifying this evolving field. Our review focuses on DL solutions for two key applications: contrast enhancement of targeted features within images and resolution enhancements. We recognize cross-modality transformations as a valuable resource for biologists seeking a deeper understanding of the field, as well as for technology developers aiming to better grasp sample limitations and potential applications. Notably, they enable high-contrast, high-specificity imaging akin to fluorescence microscopy without the need for laborious, costly, and disruptive physical-staining procedures. In addition, they facilitate the realization of imaging with properties that would typically require costly or complex physical modifications, such as achieving superresolution capabilities. By consolidating the current state of research in this review, we aim to catalyze further investigation and development, ultimately bringing the potential of cross-modality transformations into the hands of researchers and clinicians alike..
Advanced Photonics
- Publication Date: Nov. 27, 2024
- Vol. 6, Issue 6, 064001 (2024)
Single-molecule characterization from the perspective of optics, photonics, and optoelectronics: a review
Qinghua Gao, Zhizhuo Zhang, Cong Zhao, Zexiang Wang, Yani Huo, Dong Xiang, Chuancheng Jia, and Xuefeng Guo
A single molecule is the building block of the material world and the smallest independently stable unit. Exploring single-molecule properties using optical, photonic, and optoelectronic techniques holds great scientific significance in revealing the molecular dynamics, molecular structures, and molecular quantum propeA single molecule is the building block of the material world and the smallest independently stable unit. Exploring single-molecule properties using optical, photonic, and optoelectronic techniques holds great scientific significance in revealing the molecular dynamics, molecular structures, and molecular quantum properties. Nano-optical techniques, such as single-molecule photoluminescence and Raman scattering, not only enable a comprehensive analysis of interactions and conformational dynamics through spectral analysis but also provide unparalleled insights into elucidating the intricate structure of single molecules through atomic-resolution imaging. The research of photonics based on single-molecule electroluminescence has brought new ideas and limitless possibilities to the design and manufacture of photonic information devices. Single-molecule optoelectronics, which leverages photoexcitation to modulate electrical properties, has significant contributions to elucidating charge transport characteristics and optimizing the optoelectronic functions realized by single-molecule devices. Moreover, the optoelectronic characterization based on the interaction of ultrafast optical pulses with single molecules provides unprecedented opportunities for exploring their dynamic behavior and regulation laws on ultrafast time scales. We provide a timely and comprehensive overview of the latest significant advancements pertaining to the optical, photonic, and optoelectronic properties of single molecules, thereby presenting a fresh perspective for research across diverse fields, including single-molecule photophysics and photochemistry..
Advanced Photonics
- Publication Date: Nov. 29, 2024
- Vol. 6, Issue 6, 064002 (2024)
Research Articles
First demonstration of lithium niobate photonic chip for dense wavelength-division multiplexing transmitters
Hongxuan Liu, Bingcheng Pan, Huan Li, Zejie Yu, Liu Liu, Yaocheng Shi, and Daoxin Dai
Modern optical communications rely heavily on dense wavelength-division multiplexing (DWDM) technology because of its capability of significantly increasing transmission channels. Here, we demonstrate, for the first time to the best of our knowledge, a compact photonic chip for DWDM transmitters on lithium-niobate-on-iModern optical communications rely heavily on dense wavelength-division multiplexing (DWDM) technology because of its capability of significantly increasing transmission channels. Here, we demonstrate, for the first time to the best of our knowledge, a compact photonic chip for DWDM transmitters on lithium-niobate-on-insulator (LNOI) by introducing the array of 2 × 2 Fabry–Perot (FP) cavity electro-optic (EO) modulators. A four-channel LNOI photonic chip for DWDM is designed and realized with a channel spacing of 1.6 nm (which is the narrowest one reported until now for LNOI optical transmitters), exhibiting a total excess loss of 1.3 dB and high 3-dB EO bandwidths of >67 GHz for all channels. Specifically, these four 2 × 2 FP cavities are designed with broadened LNOI photonic waveguides in the cavity sections, and they are placed very closely on the chip so that their resonance wavelengths are aligned precisely with the desired channel-spacing of ∼1.6 nm. Finally, the generation of 4 × 80-Gbps on–off keying and 4 × 100-Gbps PAM4 signals is demonstrated successfully with four channels, and the power consumption is as low as ∼5.1 fJ / bit. The present photonic chip has a compact footprint of about 0.78 mm × 0.58 mm, showing great potential to work with more than four channels and to be very useful for future large-capacity optical links..
Advanced Photonics
- Publication Date: Oct. 21, 2024
- Vol. 6, Issue 6, 066001 (2024)
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
Recent advances in metasurface lenses (metalenses) have shown great potential for opening a new era in compact imaging, photography, light detection, and ranging (LiDAR) and virtual reality/augmented reality applications. However, the fundamental trade-off between broadband focusing efficiency and operating bandwidth lRecent advances in metasurface lenses (metalenses) have shown great potential for opening a new era in compact imaging, photography, light detection, and ranging (LiDAR) and virtual reality/augmented reality applications. However, the fundamental trade-off between broadband focusing efficiency and operating bandwidth limits the performance of broadband metalenses, resulting in chromatic aberration, angular aberration, and a relatively low efficiency. A deep-learning-based image restoration framework is proposed to overcome these limitations and realize end-to-end metalens imaging, thereby achieving aberration-free full-color imaging for mass-produced metalenses with 10 mm diameter. Neural-network-assisted metalens imaging achieved a high resolution comparable to that of the ground truth image..
Advanced Photonics
- Publication Date: Nov. 14, 2024
- Vol. 6, Issue 6, 066002 (2024)
Private communication with photonic terahertz chaos
Qiuzhuo Deng, Lu Zhang, Zhidong Lyu, Xiaodan Pang, Oskars Ozolins, and Xianbin Yu
Terahertz (THz) communications are vulnerable to eavesdropping due to their scattering and diffraction properties, which limits their practical deployment. We propose a photonic THz chaos encryption and synchronization scheme to secure THz communications. We experimentally demonstrate the generation, encryption, and wiTerahertz (THz) communications are vulnerable to eavesdropping due to their scattering and diffraction properties, which limits their practical deployment. We propose a photonic THz chaos encryption and synchronization scheme to secure THz communications. We experimentally demonstrate the generation, encryption, and wireless transmission of a 5 Gbit / s non-return-to-zero signal at 120 GHz using flexible photonic THz chaos. In addition, we achieve high-quality chaos synchronization with a neural network, attaining a correlation coefficient of up to 90.6%. This scheme offers a viable solution for secure THz communications, showing significant potential for enhancing wireless communication privacy..
Advanced Photonics
- Publication Date: Nov. 21, 2024
- Vol. 6, Issue 6, 066004 (2024)
Anti-dark soliton complexes in a fiber laser
Xiao Hu, Jun Guo, Guangwei Hu, Seongwoo Yoo, and Dingyuan Tang
Soliton molecules, referred to as closely bounded solitons, have recently attracted considerable interest in both fundamental nonlinear physics research and refreshed application promises. To date, extensive efforts have been made on the generation of quadratic soliton molecules. These are soliton molecules whose formaSoliton molecules, referred to as closely bounded solitons, have recently attracted considerable interest in both fundamental nonlinear physics research and refreshed application promises. To date, extensive efforts have been made on the generation of quadratic soliton molecules. These are soliton molecules whose formation exclusively involves second-order dispersion and Kerr nonlinearity. Here, for the first time, we demonstrate the realization of various third-order dispersion-supported soliton molecules, including vector dark–anti-dark solitons, vector anti-dark solitons, and vector anti-dark soliton molecules formed in a fiber laser with net cavity dispersion near the zero-group-velocity-dispersion point. High-order dispersion could greatly alter the internal soliton interaction within a soliton molecule. This finding could open exciting new avenues in soliton research..
Advanced Photonics
- Publication Date: Nov. 23, 2024
- Vol. 6, Issue 6, 066005 (2024)
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