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High-quality endoscopic laser speckle contrast imaging with conical fiber illumination

Photonics Research 2025年第3期13卷 583-592页

作者： JUNSHUAI YAN QINXIN HAN LIANGWEI MENG TINGYU SUN YAN YAN SHIJIE FENG SHAOMIN YUAN JINLING LU PENGCHENG LI Britton Chance Center for Biomedical Photonics-MoE Key Laboratory for Biomedical Photonics Advanced Biomedical Imaging Facility-Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and Technology Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging Chinese Academy of Medical ScienceHUST-Suzhou Institute for Brainsmatics State Key Laboratory of Digital Medical Engineering Key Laboratory of Biomedical Engineering of Hainan ProvinceSchool of Biomedical EngineeringHainan University

Blood flow is essential for maintaining normal physiological functions of the human *** laser speckle contrast imaging (LSCI) can achieve rapid,high-resolution,label-free,and long-term blood flow perfusion velocity monitoring in minimally invasive ***,conventional endoscopic LSCI uses a lowcoherence laser illumination scheme,leading to restricted angles of illumination,compromised laser coherence,uneven laser illumination distribution,and low coupling efficiency,all of which degrade the quality of LSCI in the *** this paper,we propose that conical fiber (CF)-coupled high-coherence laser can be used to achieve large-angle,high-coherence,high-uniformity,and high coupling efficiency laser illumination in the ***,we establish an effective model for calculating the divergence angle of *** phantom and animal experiments,we reveal that laser illumination based on CF markedly enhances endoscopic LSCI *** technology broadens the imaging field of view,enhances the signal-to-noise ratio,enables more sensitive detection of minute blood flow changes,expands the detectable flow range,and improves signal-to-background ratio of endoscopic *** findings suggest that CF-based laser illumination stands as a highly promising advancement in endoscopic LSCI.

关键词： Fiber bundles Laser coupling Laser efficiency Laser glass Single mode lasers Speckle imaging

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Mueller matrix imaging with improved resolution by deep learning method 17

Mueller matrix imaging with improved resolution by deep lear...

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17th International Conference on Photonics and imaging in Biology and Medicine, PIBM 2024

作者： Yi, Ao Zeng, Nan He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Optical Imaging and Sensing Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Tsinghua Shenzhen International Graduate School Tsinghua University Beijing100084 China Department of Physics Tsinghua University Beijing100084 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

polarization imaging is widely applied in the biomedical field. Mueller matrix imaging is an effective way to extract optical properties of biomedical samples. The mainstream technology is to use division of focus plane (DoFP) system to obtain Mueller matrix images, because Mueller matrix microscope based on dual division of focal plane (DOFP) polarimeters can realize fast full polarization imaging. However, DoFP system has a trade-off between resolution and imaging speed. Although using high numerical aperture objectives can improve resolution, it leads to a decrease of the field of view. To address this issue, we propose a deep learning network named MMRE-GAN(Mueller Matrix Resolution Enhancement GAN), aimed at improving the resolution of Mueller matrix images while also keeping the big field of view of low numerical aperture objectives. Our method does not require paired images and effectively improves the resolution of Mueller matrix images through generative adversarial networks (GANs). In detail, we used a dual division of focal plane (DoFP) polarimeters-based full Mueller matrix microscope (DoFPs-MMM) to quickly get the Mueller matrix images of thyroid slices. Then we used the dataset to validate the effectiveness of MMRE-GAN. The results show that our method successfully improves the resolution of Mueller matrix images while keeping the field of view in 4x objective, meaning a shortened scanning time for the whole slides.. And our method also enhances the details and signal-to-noise ratio of imaging. It provides support for the application of DoFPs-MMM in biomedical imaging. © 2025 SPIE.

关键词： Polarimeters

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Target detection enhancement method through multi-dimensional information differential projection and fusion

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Optics Express 2025年第10期33卷 21116-21131页

作者： Xue Dong Yubo Lan Zongmin Zhao Chang Cai Zhiming Zhou Tong Zhang Pingli Han Meng Xiang Jinpeng Liu Peiyue Xie Fei Liu School of Optoelectronic Engineering Xidian University Xi’an 710071 China Xi’an Key Laboratory of Computational Imaging Xi’an 710071 China National Key Laboratory of Infrared Detection Technologies Shanghai 200083 China Beijing Key Laboratory of Advanced Optical Remote Sensing Technology Beijing 100094 China

As a powerful detection tool, spectral polarization imaging (SPI) reveals spatial, spectral, and polarization characteristics. When combined with deep learning, its detection capabilities can be further improved. However, SPI requires the acquisition and processing of large-scale data, and it is still facing significant challenges in detecting targets in complex scenes with reduced contrast, loss of spatial structures, and cluttered backgrounds. Hence, an innovative target detection enhancement method via multi-dimensional information differential projection and fusion is presented based on our self-developed SPI systems. It primarily comprises a target retrieval algorithm based on angle of polarization purification and a novel projection and fusion strategy, which can effectively exploit, enhance, and utilize the multi-dimensional distinctions between the target and background. The resulting fused image visualizes these distinctions, thereby highlighting the target from its background. Experiment results demonstrate the efficacy of our method in detecting targets with shielding, camouflage and shape loss in complex natural environments, i.e., grasslands, woodlands, and sky. This significantly enhances scenario comprehension and detection efficiency without extensive computation or model training, making it especially advantageous for military reconnaissance applications.

关键词： Color spaces Deep learning imaging techniques Machine learning Polarimetric imaging Underwater imaging

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Revised global vertically integrated remanent magnetization model of the oceanic lithosphere with comparison to LCS-1 model and MSS-1 magnetic measurements

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Earth and Planetary Physics 2025年第3期9卷 653-666页

作者： ShiDa Sun Hui Li JinSong Du Pan Zhang Chao Chen PengFei Liu Key Laboratory of Intelligent Detection and Equipment for Underground Space of Beijing-Tianjin-Hebei Urban Agglomeration Ministry of Natural ResourcesHebei GEO UniversityShijiazhuang 050031China Center for Integrated Gravity Magneticand Electrical ProspectingHebei Key Laboratory of Strategic Critical Mineral ResourcesHebei GEO UniversityShijiazhuang 050031China Hubei Subsurface Multi-Scale Imaging Key Laboratory School of Geophysics and GeomaticsChina University of GeosciencesWuhan 430074China Macao Institute of Space Technology and Application Macao University of Science and TechnologyMacao 999078China

The lithospheric magnetic field is an important component of the geomagnetic field,and the oceanic lithosphere exhibits distinct *** of its formation mechanisms,evolutionary history,and geomagnetic field polarity reversals,the oceanic lithosphere has significant remanent magnetization,which causes magnetic anomaly stripes parallel to the mid-ocean ***,it is difficult to construct a high-resolution lithospheric magnetic field model in oceanic regions with relatively sparse data or no *** forward calculated lithospheric magnetic field data based on an oceanic remanent magnetization(ORM) model with physical and geological foundations as a supplement is a feasible *** first collect the latest available oceanic crust age grid,plate motion model,geomagnetic polarity timescale,and oceanic lithosphere thermal *** the assumptions that the paleo geomagnetic field is a geocentric axial dipole field and that the normal oceanic crust moves only in the horizontal direction,we construct a vertically integrated ORM model of the normal oceanic crust with a known age,including the intensity,inclination,and *** the ORM model and the global induced magnetization(GIM) model are then scaled from two aspects between their forward calculated results and the lithospheric magnetic field model *** aspect is the difference in their spherical harmonic power spectra,and the other is the misfit between the grid data over the *** last compare the forward calculated lithospheric magnetic anomaly from the scaled ORM and GIM models with the Macao Science Satellite-1(MSS-1) observed *** comparison results show that the magnetic anomalies over the normal oceanic crust regions at satellite altitude are mainly contributed by the high-intensity remanent magnetization corresponding to the Cretaceous magnetic quiet *** these regions,the predicted and observed anomalies show good consistency in spatial distribut

关键词： oceanic remanent magnetization lithospheric magnetic field LCS-1 Macao Science Satellite-1

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Research on an automatic light field refocusing method for a camera array

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Optics Express 2025年第10期33卷 20964-20980页

作者： Yihua Pan Yushan Zhao Yuyang Li Bin Liu Ping Chen Shanxi Key Laboratory of Intelligent Detection Technology & Equipment School of Information and Communication Engineering North University of China Taiyuan Shanxi 030051 China Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing 100081 China State Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instruments North University of China Taiyuan Shanxi 030051 China

Light field information includes the position and angle information of light in space. A camera array is one of the methods for obtaining light field information, which combines and arranges multiple cameras in space to achieve multi-angle imaging of the same target. Based on the light field information, a computational imaging method can be used to achieve refocusing technology for a camera array (also known as optical synthetic aperture imaging technology). In this technology, by setting the focusing coefficient, the light field information can be focused on different depths. This mode is called taking photos first and focusing later. However, in order to focus on a specific object surface, traditional refocusing methods require users to manually adjust the focusing coefficient multiple times, which is time-consuming and user-unfriendly. Therefore, in this paper, we propose an automatic focusing method based on the optimal focusing coefficient map (OFCM) to address the manual refocusing problem. This method transforms the refocusing problem into obtaining the optimal focus coefficient map. In the process of solving OFCM, the threshold filtering method and the neighborhood filling method are used to optimize the results and improve the robustness of the proposed method. The experimental results show that our proposed method has higher imaging quality and faster running efficiency compared to automatic refocusing methods based on disparity maps and gradient functions.

关键词： Biomedical imaging Computational imaging imaging techniques Plenoptic imaging Point spread function Real time imaging

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Multi-channel transmission meta-holograms enabled by a single-layer complex-amplitude metasurface

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Optics Letters 2025年第8期50卷 2542-2545页

作者： Zhu, Lei Wang, Yiya Dong, Liang Shang, Guanyu Burokur, Shah Nawaz Ding, Xumin School of Computer and Control Engineering Qiqihar University Qiqihar161006 China Communication and Electronics Engineering Institute Qiqihar University Qiqihar161006 China Key Laboratory of Big Data Network Security Detection and Analysis in Heilongjiang Qiqihar University Qiqihar161006 China Innovation Photonics and Imaging Center Instrumentation Science and Engineering Harbin Institute of Technology Harbin150001 China LEME UPL Univ. Paris Nanterre Ville d'AvrayF92410 France Advanced Microscopy and Instrumentation Research Center Harbin Institute of Technology Harbin150080 China

With an increasing demand for wireless communications, it is difficult for traditional communication technologies to achieve high-quality multi-channel wireless transmissions. Complex-amplitude metasurfaces provide an effective method to deal with this issue by jointly controlling the amplitude and phase of electromagnetic (EM) waves. However, the limitations of single-layer transmission efficiency and amplitude-phase coupling make it challenging to achieve multi-channel high-quality transmission and system integration. Here, a single-layer complex-amplitude metasurface design strategy for multi-channel high-quality transmission is proposed. The amplitude and phase of each transmission channel can be concurrently controlled by adjusting the structural parameters and rotation angles of the resonators. The metasurface successfully reconstructs different holograms in five transmission channels. All experimental results align well with the calculated and simulated results, demonstrating an innovative solution for multi-channel high-quality information transmission, with significant potential applications in the fields of wireless communications. © 2025 Optica Publishing Group.

关键词： Holograms

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Real-time Optical polarization Measurement and Characterization of Submersible Windows’ Stress under Full-Ocean-Depth Hydrostatic Pressure

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Bu, Xingying Xu, Ying Liao, Ran Zhang, Hailong Ma, Hui Shenzhen Key Laboratory of Marine IntelliSensing and Computation Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Institute of Deep-sea Science and Engineering Chinese Academy of Sciences Sanya572000 China

Real-time monitoring the window’s stress is crucial for assessing the status and safety of submersibles working in deep sea, in which the effective measurement and characterization are desired. This work reports a measurement system to monitor submersible windows’ stress under full-ocean-depth hydrostatic pressure. A measurement setup is designed for online collecting the Mueller matrix images of 9 scaled windows on which are exerted the hydrostatic pressure maximal to 120 MPa. Subsequently, a series of characterization parameters are extracted through the analysis of polarization and texture features. The images of polarization parameters can clearly show the phenomena such as the accumulation, redistribution, and release of window’s internal stress. And some characterization parameters can steadily characterize the stress in windows during the pressurization, depressurization and creep. Further, it is found that some characterization parameters show a bit of differences among the windows, while some are sensitive to deformation but some are sensitive to stress. The scheme of this measurement system provides a way to effectively monitor the internal stress of the windows, which helps to ensure the safety of the submersibles. © 1963-2012 IEEE All rights reserved.

关键词： Windows Sea measurements Underwater vehicles Stress measurement Pressure measurement Feature extraction Real-time systems Monitoring Internal stresses imaging

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Research on trigger technology of MRPC TOF-PET system and imaging results of 22Na radioactive source

arXiv

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arXiv 2025年

作者： Liu, Jianing Ma, Yuelei Chen, Ziyang Li, Zhenyan Wang, Yi Guo, Baohong Han, Dong Li, Yuanjing Key Laboratory of Particle and Radiation Imaging Department of Engineering Physics Tsinghua University Beijing100084 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Modern Physics Department University of Science and Technology of China Hefei230026 China

This study focuses on developing a self-triggered data acquisition system and a noise reduction algorithm for the Multi-gap Resistive Plate Chamber (MRPC) Time-of-Flight Positron Emission Tomography (TOF-PET) system. The system integrates a fast front-end amplifier, a waveform digitization module based on the DRS4 chip, and an efficient noise reduction algorithm to address challenges such as high noise trigger rates and precise gamma-ray detection. The proposed self-triggered system, through threshold discrimination, coincidence logic, and continuous oscillation check, reduces the noise trigger rate to 0.004 Hz. Experimental results show that the system accurately localizes and images the 22Na radioactive source, and has a good time resolution of 162 ps FWHM for 0.511 MeV gamma rays. Copyright © 2025, The Authors. All rights reserved.

关键词： Gamma rays

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polarization Filtering for Automatic Image Dehazing Based on Contrast Enhancement 9

Polarization Filtering for Automatic Image Dehazing Based on...

引用

2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Xiaoming Li Qinchao Huang Anhui Key Laboratory of Polarization Imaging Detection Technology Army Office Academy

ISBN: (纸本)9781509038237;9781509038220

To overcome the degraded images taken in hazy weather, an adaptive restoration method based on improved contrast enhanced restoration was proposed. Firstly, by quadtree subdivision searching method, the sky area of multichannel polarization image are extracted automatically, and the atmospheric light and degree of polarization are calculated;Second, scene depth information of image are calculated based on contrast enhancement method. Then, atmospheric intensity are thinly restored by guided filter, finally the degradation image are restored. Experimental results have shown that the proposed method can improve fog degradation image and increase definition of the image effectively.

关键词： image dehazing contrast enhancement image restore atmospheric transmissivity

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Target detection for Infrared polarization Image in the Background of Desert 9

Target Detection for Infrared Polarization Image in the Back...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Xiaoming Li Qinchao Huang Anhui Key Laboratory of Polarization Imaging Detection Technology Army Office Academy

ISBN: (纸本)9781509038237;9781509038220

Infrared polarization imaging detection can be used to obtain not only the polarization state but also the radiation of target. With this method, the target that traditional photometry cannot detect can be settled. The degree and angle of polarization that used in polarization detection reflect different physical properties, and it is seriously redundancy along with intensity of images. A target detection method for polarization infrared image in the background of desert is proposed in allusion to the character. A modified kernel fuzzy clustering algorithm is purposed to cluster infrared images and the polarization images. Then to distinguish target from the background, the object information of clustered infrared and polarization image were combined according to sparse fusion method. Experimental results show that the proposed detection method is lower noise and more clearly details than wavelet fusion and laplacian pyramid fusion.

关键词： infrared polarization kernel fuzzy c clustering sparse fusion pattern recognition

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