留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码
期刊信息更多+
  • 主办单位:
    中国光学工程学会清华大学上海理工大学
  • 名誉主编: 庄松林 院士
  • 国际主编: 顾敏 院士
  • 主       编:
    孙洪波 教授仇旻 教授
  • 创       刊:2020年3月
  • ISSN:2662-1991
最新上线
Metasurface-engineered thermal emitters enabled chip-scale mid-infrared spectroscopic sensing
Qin Chen, Hu Nie, Qinke Liu, Ning Tan, Ziwang Tuo, Jiahao Yan, Long Wen
 doi: 10.1186/s43074-025-00177-4
Abstract(0) PDF(0)
Abstract:
Miniaturized spectroscopy techniques show great potentials in on-site applications, with most progress focused on manipulating the spectral responses of either dispersion elements or detectors. Little attention was paid on light sources, while light source and its optical collimation unit left unsaid in most miniaturized spectrometers actually dominate a majority of the footprint and the cost of the entire platform. Here, we demonstrate light-source engineering as a new paradigm for developing a miniaturized spectroscopic sensing platform in mid-infrared (MIR), where spectral information of the analyte is encoded in the MIR image of a chip-size thermal source. An array of angle-insensitive metasurface sub-emitters that operate at various wavelengths enables a straightforward sensing method by decoding an image of the radiation intensity distribution. Accurate and robust classification of organic solvents and drug sorting, as well as quantitative concentration measurement of mixed organic solutions, were experimentally demonstrated with an imaging angle tolerance up to 40º. Moreover, spectral imaging was explored using this device, achieving distinct images of a plastic covered steel ring. By integrating the functions of light source, dispersion element and collimation unit in conventional spectroscopy platforms into such a chip-size metasurface thermal emitter, the proposed miniaturized MIR spectral sensing technique shows promising potential for portable and on-site material analysis.
Self-supervised denoising of dynamic fluorescence images via temporal gradient-empowered deep learning
Woojin Lee, Minseok A. Jang, Hyeong Soo Nam, Jeonggeun Song, Jieun Choi, Joon Woo Song, Jae Yeon Seok, Pilhan Kim, Jin Won Kim, Hongki Yoo
 doi: 10.1186/s43074-025-00173-8
Abstract(28) PDF(0)
Abstract:
Fluorescence microscopy has become one of the most widely employed in vivo imaging modalities, enabling the discovery of new biopathological mechanisms. However, the application of fluorescence imaging is often hindered by signal-to-noise ratio issues owing to inherent noise arising from various systemic and biophysical characteristics. These limitations pose a growing challenge, especially with the desire to elucidate dynamic biomechanisms at previously unreachable rapid speeds. Here, we propose a temporal gradient (TG)-based self-supervised denoising network (TeD) that could enable an unprecedented advance in spatially dynamic fluorescence imaging. Our strategy is predicated on the insight that judicious utilization of spatiotemporal information is more advantageous for denoising predictions. Adopting the TG, which intrinsically embodies spatial dynamic features, enables TeD to prudently focus on spatiotemporal information. We showed that TeD can provide new interpretative opportunities for understanding dynamic fluorescence signals in in vivo imaging of mice, representing cellular flow. Furthermore, we demonstrated that TeD is robust even when fluorescence signals exhibit temporal kinetics without spatial dynamics, as seen in neuronal population imaging. We believe that TeD’s superior performance even with spatially dynamic samples, including the complex behavior of cells or organisms, could make a substantial contribution to various biological studies.
Field programmable silicon microring WDM transceiver leveraging monolithically integrated phase-change materials
Xing Yang, Shihuan Ran, Ziquan Li, Liangjun Lu, Yu Li, Ngon Phu Wai, MingHua Zhang, Guo-Qiang Lo, Jianping Chen, Linjie Zhou
 doi: 10.1186/s43074-025-00174-7
Abstract(24) PDF(0)
Abstract:
Silicon microring resonators (MRRs) with embedded PN junctions have emerged as pivotal components in high-capacity optical interconnects, serving as modulators or photodetectors due to their compact size, low power consumption, high bandwidth, and inherent wavelength selectivity. However, their resonance wavelengths are highly sensitive to fabrication-induced variations—nanometer-scale deviations in waveguide dimensions can result in significant resonance shifts—necessitating effective post-fabrication tuning mechanisms. Conventional solutions like integrating thermal phase shifters with MRRs enable wavelength tuning but at the cost of increased power consumption. Additionally, various wavelength trimming techniques including germanium ion implantation, continuous laser trimming, femtosecond laser trimming, and polymer material cladding, either have a limited tuning range or require a complex system, and hence they are not suitable for field programming of resonance wavelength. In this work, we introduce a novel integration of low-loss phase change material Sb2Se3 directly atop the PN junctions of silicon MRRs, enabling precise post-fabrication resonance trimming without altering the MRR physical dimensions or performance characteristics. By applying a forward-biased electrical pulse through the PN junction, we induce a phase transition in the Sb2Se3, achieving resonance wavelength tuning across an entire free spectral range (FSR) with minimal impact on modulation and detection capabilities and without the need for extra heating pads. We demonstrate the effectiveness of this method by uniformly aligning the resonance wavelengths of four cascaded SbSe-integrated MRRs, each capable of 100 Gbps on–off keying (OOK) modulation and detection, culminating in a combined data rate of 400 Gbps. Additionally, as enabled by such unique programmability, we propose a feedback scheme to counteract ambient temperature fluctuations as a real-time thermal management strategy during operation, employing one of the MRRs as an optical power monitor to stabilize the modulation of the remaining resonators. Via the non-volatile programmability, our approach significantly reduces static power consumption associated with wavelength adjustment. The use of a PN junction to trigger phase transition with forward-biased electrical pulses not only facilitates the in-situ wavelength trimming but also preserves the MRR perimeter with enough FSR to support the number of channels available for wavelength multiplexing. These advancements position Sb2Se3-integrated MRRs as a promising solution for large-scale, energy-efficient photonic transceivers in next-generation optical communication systems.
Ultrafast modulation of second harmonic waves through polarization selective interferometric autocorrelation
Heng Wang, Kingfai Li, Zixian Hu, Qichang Ma, Xinmou Lu, Jiaming Huang, Hoilam Tam, Junhong Deng, Guixin Li
 doi: 10.1186/s43074-025-00175-6
Abstract(9) PDF(0)
Abstract:
Ultrafast modulation of light is of great importance in optical communications, optical spectroscopy, precision measurement and so on. To achieve better modulation performance, various materials platforms including photonic crystals, two-dimensional materials and plasmonic metasurfaces have been extensively explored. In this work, we demonstrate that a thin β-BaB2O4 which has wide band transparence and large nonlinear coefficient can be used to realize ultrafast modulation of second harmonic waves (SHWs). Under the pumping of two femtosecond laser pulses with perpendicular polarizations and variable time delay, the modulation of SHWs exhibits either slow or fast varying characteristics by using the concept of polarization selective interferometric autocorrelation. Interestingly, these two kinds of modulation behaviors depend on the real and imaginary parts of the pulse-width parameter of the chirped laser pulse. The observed physical mechanism is then utilized to generate and modulate the SHWs carrying orbital angular momentum. The proposed strategy in this work may have important applications in parallel ultrafast optical information processing and optical computing.