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  • 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
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Second-level high-speed 3D isotropic imaging of whole mouse brain using deep-learning spinning-disk light-sheet microscopy
Fang Zhao, Junyu Ping, Xingyu Chen, Yuyi Wang, Zhaofei Wang, Jingtan Zhu, Chaoliang Ye, Yuan Wang, Man Jiang, Dan Zhu, Fenghe Zhong, Yuxuan Zhao, Peng Fei
 doi: 10.1186/s43074-025-00200-8
Abstract(0) PDF(0)
Abstract:
Axially-swept light-sheet microscopy (ASLM) has emerged as a distinguished tool for 3D imaging owing to its excellent spatial resolution. However, the acquisition time is significantly elongated due to the extra time consumed in axial scanning. Meanwhile, the spatial information provided in a single scan is fundamentally limited by the compromise between field-of-view and resolution. The overall inadequate optical throughput of current ASLM techniques impedes their widespread application in acquiring large samples. Here we demonstrate a spinning-disk-based ASLM (SDLM) approach that enables wide field-of-view (15 × confocal range of the gaussian beam), isotropic 3D imaging of large organisms at 100 Hz full camera frame rate. In addition to the new optical design, we combine a recurrent neural network image restoration model to further improve the resolution of raw images. We demonstrate seconds scale stitching-free 3D imaging of the entire mouse brain (~ 9*8*5 mm size) at isotropic single-cell resolution (1.5 µm voxel). With the high-quality data readily obtained by our approach, we also demonstrate the visualization of long projecting neurons and two genotypes of whole mouse brain cell profiling across the 3D space. Further transformation into in vivo research would broaden the application of SDLM.
Harnessing forward scattering effect for high dynamic imaging
Minda Qiao, Yuhan Zhang, Haodong Yang, Linge Bai, Xue Dong, Tong Zhang, Jinpeng Liu, Fei Liu, Sylvain Gigan, Xiaopeng Shao
 doi: 10.1186/s43074-025-00202-6
Abstract(0) PDF(0)
Abstract:
Imaging scenes with a high dynamic range (HDR) of light intensities is critical for applications such as biomedical imaging, astronomical observation, and industrial automation, where accurate detection of both bright and dark regions is essential for precise analysis and decision-making. In this paper, we propose an HDR imaging approach harnessing optical forward scattering effect that breaks the limitations of image processing type. Our approach integrates a nonlinear deconvolution method based on speckle background noise estimation, along with Cross-correlation and Laplacian pyramid fusion method, to improve imaging precision and adaptability. By utilizing a digital micromirror device and a scattering diffuser, we develop a proof-of-concept experimental system, validating the effectiveness of reconstruction of faint details in HDR scenes. This method achieves dynamic range expansion from a 130.01 dB HDR scene using a detector with an 88.5 dB dynamic range, achieving a 119-fold intensity difference. Our work demonstrates a promising new solution for HDR imaging in demanding lighting environments, which could expand the scope of photoelectronic imaging application.
Scalable, ultrathin, highly selective and emissive films by microsphere-polymer coupled metasurfaces for passive radiative cooling
Qian Zhu, Yinggang Chen, Tong Wang, Hua Lu, Limin Wu, Min Gu, Yinan Zhang
 doi: 10.1186/s43074-025-00198-z
Abstract(0) PDF(0)
Abstract:
Passive daytime radiative cooling (PDRC) is a recently developed zero-carbon cooling technology that harnesses the coldness of the universe as an inexhaustible and environmentally sustainable energy source, holding immense promise for revolutionizing the global energy landscape. Photonic structures with tailored optical responses across solar and thermal wavelengths play pivotal roles in daytime radiative cooling. However, the design of spectrally selective structures with simultaneously high performance, scalable manufacturability and reduced material usage toward real-world deployment remains a significant challenge. Here we report scalable, ultrathin and high-performance selective radiative cooling photonic films by microsphere-polymer coupled metasurface (M-PCM), which consists of subwavelength-thick (~ 8 µm) polymeric elastomer embedded with a monolayer hexagonally close-packed microsphere array on the top and an optically thick reflector underneath via an inexpensive and scalable-manufactured strategy. By controlling the light coupling between the glass sphere and polymers, Mie resonances are spectrally selective excited or suppressed leading to a strong infrared emissivity of 0.96 within 8–13 µm and a large spectral selectivity of 1.50, with simultaneously a high solar reflectance of 0.96, surpassing the state-of-the-art selective PDRC designs. More critically, the M-PCM film yields a maximum temperature drop of 7.1 °C in a represented rooftop test. Promisingly, the mass-produced yet economically viable ultrathin flexible M-PCM films are portable to be integrated into diverse realistic scenarios, such as building exteriors, automobile bodies and water tanks, which could potentially contribute to the global energy conservation and carbon emission reduction.
Ultra-low photodamage three-photon microscopy assisted by neural network for monitoring regenerative myogenesis
Yifei Li, Keying Li, Mubin He, Chenlin Liang, Wang Xi, Shuhong Qi, Runnan Zhang, Ming Jiang, Zheng Zheng, Zichen Wei, Xin Xie, Jun Qian
 doi: 10.1186/s43074-025-00191-6
Abstract(16) PDF(0)
Abstract:
Three-photon microscopy (3PM) enables high-resolution three-dimensional (3D) imaging in deeply situated and highly scattering biological specimens, facilitating precise characterization of biological morphology and cellular-level physiology in vivo. However, the use of fluorescent probes with relatively low three-photon absorption cross-sections necessitates high-peak-power lasers for excitation, which poses inherent risks of light-induced damage. Additionally, the low repetition frequency of these lasers prolongs scanning time per pixel, hampering imaging speed and exacerbating the potential for photodamage. Such limitations hinder the application of 3PM in studying vulnerable tissues, including muscle regeneration. To address this critical issue, we developed the Multi-Scale Attention Denoising Network (MSAD-Net), a precise and versatile denoising network suitable for diverse structures and varying noise levels. Our network enables the use of lower excitation power (1/4–1/2 of the common power: 1.0–1.5 mW vs 4–6 mW) and shorter scanning time (1/6–1/4 of the common time: 2–3 μs/pixel vs 12 μs/pixel) in 3PM while preserving image quality and tissue integrity. It achieves a structural similarity index (SSIM) of with an average of 0.9932 and a fast inference time of just 80 ms per frame which ensured both high fidelity and practicality for downstream applications. By utilizing MSAD-Net-assisted imaging, we characterize the biological morphology and functionality of muscle regeneration processes through deep in vivo five-channel imaging under low excitation power and short scanning time, while maintaining a high signal-to-noise ratio (SNR) and excellent axial spatial resolution. Furthermore, we conducted high axial-resolution dynamic imaging of vascular microcirculation, macrophages, and ghost fibers. Our findings provide a deeper understanding of the mechanisms underlying muscle regeneration at the cellular and tissue levels.
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