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学者姓名：曾志平
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Abstract ：
提出了一种基于机器视觉的牛顿环参数检测方法,用于测量平凸透镜的曲率半径.实验采用钠光灯为光源,通过分束镜反射入射光并采集牛顿环干涉图样,利用HALCON软件进行图像处理,包括预处理、图像锐化、取骨骼操作和轮廓分割等步骤.通过拟合圆形轮廓,提取暗条纹的圆心坐标和半径,进而计算透镜的曲率半径.实验结果显示,所提方法能在毫米级误差下准确测得平凸透镜的曲率半径.
Keyword ：
图像处理 图像处理 干涉条纹分析 干涉条纹分析 曲率半径测量 曲率半径测量 机器视觉 机器视觉 牛顿环 牛顿环
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| GB/T 7714 | 许灿华 , 薛孔松 , 王雅婷 et al. 基于机器视觉的平凸透镜曲率半径检测方法 [J]. | 实验室研究与探索 , 2025 , 44 (1) : 153-157 . |
| MLA | 许灿华 et al. "基于机器视觉的平凸透镜曲率半径检测方法" . | 实验室研究与探索 44 . 1 (2025) : 153-157 . |
| APA | 许灿华 , 薛孔松 , 王雅婷 , 毛梦瑶 , 曾志平 . 基于机器视觉的平凸透镜曲率半径检测方法 . | 实验室研究与探索 , 2025 , 44 (1) , 153-157 . |
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Fluorescence fluctuation-based super-resolution microscopy (FF-SRM) is an economical and widely applicable technique that significantly enhances the spatial resolution of fluorescence imaging by capitalizing on fluorescence intermittency. However, each variant of FF-SRM imaging has inherent limitations. This study proposes a super-resolution reconstruction strategy (synSRM) by synergizing multiple variants of the FF-SRM approach to address the limitations and achieve high-quality and high-resolution imaging. The simulation and experimental results demonstrate that, compared to images reconstructed using single FF-SRM algorithms, by selecting suitable synSRM routes according to various imaging conditions, further improvements of the spatial resolution and image reconstruction quality can be obtained for super-resolution fluorescence imaging. © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
Keyword ：
Fluorescence imaging Fluorescence imaging Fluorescence microscopy Fluorescence microscopy Image resolution Image resolution
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| GB/T 7714 | Zeng, Zhiping , Xu, Biqing , Qiu, Jin et al. Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy [J]. | Biomedical Optics Express , 2024 , 15 (10) : 5886-5900 . |
| MLA | Zeng, Zhiping et al. "Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy" . | Biomedical Optics Express 15 . 10 (2024) : 5886-5900 . |
| APA | Zeng, Zhiping , Xu, Biqing , Qiu, Jin , Chen, Xinyi , Huang, Yantang , Xu, Canhua . Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy . | Biomedical Optics Express , 2024 , 15 (10) , 5886-5900 . |
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该文介绍了采用α–BBO双折射晶体透镜进行分光和光程差补偿方法，以及使用偏振相机进行单次采集的自干涉全息成像方法。该方法不需要使用额外器件补偿共轴干涉光路的光程差，适用于非相干白光照明情况下日常物体的全息图采集与图像重建。该文推导了再现距离与放大率等重要参数，并在此基础上，搭建了单发成像系统，还进行了实验验证。实验通过单次曝光采集了LED灯组的四幅不同偏振态全息图，并用四步相移法得到复振幅全息图，最后通过图像重建算法反演计算获得准确的再现图像。实验验证了基于α–BBO双折射晶体透镜的单次曝光自干涉全息成像方法的三维成像能力。
Keyword ：
光程差补偿 光程差补偿 单发成像 单发成像 双折射晶体透镜 双折射晶体透镜 自干涉全息 自干涉全息
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| GB/T 7714 | 许灿华 , 薛孔松 , 王雅婷 et al. 基于双折射晶体透镜的自干涉全息成像系统 [J]. | 实验技术与管理 , 2024 , 41 (08) : 88-95 . |
| MLA | 许灿华 et al. "基于双折射晶体透镜的自干涉全息成像系统" . | 实验技术与管理 41 . 08 (2024) : 88-95 . |
| APA | 许灿华 , 薛孔松 , 王雅婷 , 毛梦瑶 , 周田 , 曾志平 . 基于双折射晶体透镜的自干涉全息成像系统 . | 实验技术与管理 , 2024 , 41 (08) , 88-95 . |
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Fluorescence fluctuation-based super-resolution microscopy (FF-SRM) is an economical and widely applicable technique that significantly enhances the spatial resolution of fluorescence imaging by capitalizing on fluorescence intermittency. However, each variant of FF-SRM imaging has inherent limitations. This study proposes a super-resolution reconstruction strategy (synSRM) by synergizing multiple variants of the FF-SRM approach to address the limitations and achieve high-quality and high-resolution imaging. The simulation and experimental results demonstrate that, compared to images reconstructed using single FF-SRM algorithms, by selecting suitable synSRM routes according to various imaging conditions, further improvements of the spatial resolution and image reconstruction quality can be obtained for super-resolution fluorescence imaging. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
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| GB/T 7714 | Zeng, Zhiping , Xu, Biqing , Qiu, Jin et al. Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy [J]. | BIOMEDICAL OPTICS EXPRESS , 2024 , 15 (10) : 5886-5900 . |
| MLA | Zeng, Zhiping et al. "Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy" . | BIOMEDICAL OPTICS EXPRESS 15 . 10 (2024) : 5886-5900 . |
| APA | Zeng, Zhiping , Xu, Biqing , Qiu, Jin , Chen, Xinyi , Huang, Yantang , Xu, Canhua . Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy . | BIOMEDICAL OPTICS EXPRESS , 2024 , 15 (10) , 5886-5900 . |
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The upconversion luminescence at the visible band was excited by the high power density whispering gallery mode (WGM) on the surface of the microsphere. Under the WGM excitation, Er3+ of NaYF4:Er3+ directly absorbed three photons at 1525 nm, followed by the generation of upconversion luminescence. We used WS2 quantum dots (QDs) as donors and NaYF4:Er3+ upconversion nanoparticles (UCNPs) as acceptors to enhance upconversion luminescence by Forster resonant energy transfer (FRET). The physical mixture composed of monolayer WS2 and NaYF4:Er3+ nanoparticles was coated on SiO2 microsphere by immersion method. Excited by high power density WGM, three photons were absorbed by WS2-QDs based on the quantum size effect to generate excited electrons as donors and UCNPs as acceptors based on FRET, subsequently, the energy of the electrons were transferred to the luminescence center Er3+ to improve the upconversion luminescence efficiency. The mechanism model of upconversion luminescence enhancement based on FRET of WS2-NaYF4:Er3+ was proposed, and the enhancement effect was experimentally studied and demonstrated. To study the distance dependence of energy transfer between QD and UCNP pairs, we covered the surface of the silica microsphere with a controlled concentration of WS2 mixed with NaYF4:Er3+ nano-particles. When the mixed concentration of WS2-QDs was 0.15%, the upconversion luminescence reached the highest efficiency. The results showed that a twofold upconversion luminescence enhancement can be experimentally achieved. The proposed approach for enhancing the upconversion luminescence could benefit the improvement of imaging signal-to-noise ratio (SNR) using UCNPs for fluorescent labels in life sciences.
Keyword ：
Enhanced upconversion luminescence Enhanced upconversion luminescence Forster resonant energy transfer (FRET) Forster resonant energy transfer (FRET) Three-photon absorption Three-photon absorption Whispering gallery mode (WGM) Whispering gallery mode (WGM)
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| GB/T 7714 | Huang, Yantang , He, Xinyu , Liao, Songsong et al. Enhanced upconversion luminescence of NaYF4:Er nanocrystals based on the synergy between whispering gallery mode excitation and forster resonant energy transfer [J]. | OPTICAL MATERIALS , 2024 , 150 . |
| MLA | Huang, Yantang et al. "Enhanced upconversion luminescence of NaYF4:Er nanocrystals based on the synergy between whispering gallery mode excitation and forster resonant energy transfer" . | OPTICAL MATERIALS 150 (2024) . |
| APA | Huang, Yantang , He, Xinyu , Liao, Songsong , Tu, Bifeng , Xu, Canhua , Huang, Wenqi et al. Enhanced upconversion luminescence of NaYF4:Er nanocrystals based on the synergy between whispering gallery mode excitation and forster resonant energy transfer . | OPTICAL MATERIALS , 2024 , 150 . |
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Fluorescence fluctuation-based super-resolution microscopy is a cost-effective and widely applicable super-resolution microscopic technology, which has broad applications in observing subcellular structures and monitoring their kinetic processes. However, it is highly demanded to systematically study the reconstruction quality of various fluctuation-based superresolution algorithms under different fluorescence temporal fluctuations. In this paper, firstly, the performances in the image quality of multiple algorithms under different conditions are quantitatively analyzed and compared by employing various evaluation metrics such as Resolution Scaled Pearson's coefficient (RSP), Resolution Scaled Error (RSE), Signal-to-Noise Ratios (SNRs), Relative error of strength (K), and Resolution (R). Then, a comprehensive evaluation factor (CEF) was defined by combining 5 parameters for the evaluation of all algorithms, and the advantages and applicable conditions of various algorithms are summarized and analyzed. Furthermore, this paper establishes a general model using a multi-layer perceptron (MLP) to accurately predict the most suitable super-resolution algorithms under different conditions. In addition, a software platform for multi-algorithm fluorescence fluctuation super-resolution nanoscopy was developed, which can realize the generation of fluorescence fluctuation signals, synchronize multiple super-resolution algorithms, and the evaluation of reconstructed images. The results show that high-quality super-resolution images can be obtained by increasing image frames together with enhancing the fluorescence fluctuation signals. The model of the multilayer perceptron performs well with high output accuracy (>95%) after multiple iterations of training and exhibits good prediction capability that can reduce additional experiments and improve experimental efficiency. These studies will facilitate the implementation of fluctuation-based super-resolution techniques for the research of subcellular organelle investigation under various fluorescent labeling conditions. © 2024 IEEE.
Keyword ：
Fluorescence imaging Fluorescence imaging Fluorescence microscopy Fluorescence microscopy Image analysis Image analysis Image enhancement Image enhancement Image quality Image quality Image reconstruction Image reconstruction Image resolution Image resolution
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| GB/T 7714 | Zeng, Zhiping , Qiu, Jin , Xu, Biqing et al. Optical Super-resolution Imaging under Different Fluorescence Temporal Fluctuations [C] . 2024 . |
| MLA | Zeng, Zhiping et al. "Optical Super-resolution Imaging under Different Fluorescence Temporal Fluctuations" . (2024) . |
| APA | Zeng, Zhiping , Qiu, Jin , Xu, Biqing , Chen, Xinyi . Optical Super-resolution Imaging under Different Fluorescence Temporal Fluctuations . (2024) . |
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In this work, a home-made fibre optic temperature sensor has been designed to measure temperatures ranging from -100 degrees C to 800 degrees C by combining fluorescence lifetime and thermal radiation temperature measurement. Firstly, a high-temperature-resistant fluorescent material, Y(P,V)O-4:Eu3+, was used to measure temperatures below 400 degrees C based on the relationship between the fluorescence lifetime and temperature. Secondly, the thermal radiation at the wavelength of 1490 nm was detected and fitted with a fourth-order expression for temperatures above 300 degrees C. The temperature overlap zone of the two methods ranges from 300 degrees C to 360 degrees C. Finally, the temperature measured using fluorescence lifetime was used to calibrate the constant term in the equation of thermal radiation in this overlapping range. The combination of fluorescence lifetime thermometry and thermal radiation thermometry enables accurate temperature measurements ranging from -100 degrees C to 800 degrees C.
Keyword ：
Fibre optic temperature sensor Fibre optic temperature sensor fluorescence lifetime thermometry fluorescence lifetime thermometry fluorescence sensing probe fluorescence sensing probe Thermal radiation thermometry Thermal radiation thermometry
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| GB/T 7714 | Xue, Kongsong , Zhou, Tian , Wang, Yating et al. Optical fibre-based temperature sensor for-100 °C to 800 °C utilizing fluorescence lifetime and thermal radiation [J]. | JOURNAL OF MODERN OPTICS , 2024 . |
| MLA | Xue, Kongsong et al. "Optical fibre-based temperature sensor for-100 °C to 800 °C utilizing fluorescence lifetime and thermal radiation" . | JOURNAL OF MODERN OPTICS (2024) . |
| APA | Xue, Kongsong , Zhou, Tian , Wang, Yating , Mao, Mengyao , Huang, Yantang , Zeng, Zhiping et al. Optical fibre-based temperature sensor for-100 °C to 800 °C utilizing fluorescence lifetime and thermal radiation . | JOURNAL OF MODERN OPTICS , 2024 . |
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Objective Due to its economic advantages, convenience of use, and wide applicability, fluorescence fluctuation-based superresolution microscopy has rapidly advanced in recent years and has garnered increased attention and application. Compared with other super-resolution imaging techniques, fluorescence fluctuation-based super-resolution microscopy offers lower system costs and is particularly suitable for imaging live cells, demonstrating exceptional performance in observing subcellular structures and monitoring dynamic processes. Specifically, variations in the fluorescence fluctuation characteristics significantly affect the quality of the superresolution reconstructed images. Therefore, a systematic investigation of image quality under various fluorescence fluctuation conditions is crucial for identifying the most suitable super-resolution imaging approach. These fluorescence fluctuation conditions include parameters such as the number of image-acquisition frames, signal-to-noise ratio, bright-to-dark state probability, and brightto- dark fluorescence intensity ratio, which directly affect image clarity, the signal-to-noise ratio, and accuracy. Thoroughly examining these conditions, we can effectively select and optimize the super-resolution imaging method that meet specific research requirements and experimental conditions. Methods We developed a fluorescence fluctuation-based super-resolution comprehensive imaging reconstruction platform using MATLAB. This platform integrates four super-resolution methods, namely, SOFI, MSSR, MUSICAL, and SPARCOM, and can simulate fluorescence fluctuation signals under different conditions while simultaneously applying multiple super-resolution methods to generate datasets. The platform also supports the import and reconstruction of experimental data and presents the reconstruction results clearly and intuitively on the platform interface, thus allowing users to conveniently compare the imaging results of different approaches. A comprehensive image-quality assessment is then conducted on these simulated datasets. This study used four sets of data under different fluorescence fluctuation conditions and quantitatively analyzed the quality of the reconstructed images generated by the four super-resolution algorithms using five evaluation parameters: the resolution-scaled Pearson coefficient (RSP), resolutionscaled error (RSE), relative error of strength (K), signal-to-noise ratio (SNR), and resolution (R). These five parameters were used to determine the image reconstruction consistency, reconstruction error, image reconstruction uniformity, SNR of the reconstructed images, and improvements in the reconstructed image resolution. In addition, to assess the quality of images reconstructed by the super-resolution algorithms more comprehensively and objectively, this study assigned specific weights to these five evaluation parameters and defined a comprehensive evaluation factor (CEF). The weights were determined based on the relative importance of each parameter in the super-resolution imaging technology to ensure the contribution of each parameter was accurately reflected. To facilitate a better comparison of the performances of the four super-resolution algorithms, this study integrated a multilayer perceptron model with a CEF and datasets generated under various fluorescence fluctuation conditions. The model can determine the superresolution image reconstruction method that best performs under various fluorescence fluctuation conditions by learning and analyzing the performance of different algorithms and outputting an optimal algorithm selection. In short, this model considers different fluorescence fluctuation conditions as inputs and uses a comprehensive evaluation factor of the reconstructed results from various superresolution algorithms as outputs. Results and Discussions Under the fluorescence fluctuation super-resolution comprehensive imaging reconstruction platform, fluorescence signals under varying fluorescence fluctuation conditions were generated. Super-resolution algorithms were applied to reconstruct the datasets and calculate their CEF values; some simulation results are presented in Table 1. The SPARCOM method demonstrates the best performance in terms of resolution and denoising capability, achieving a spatial resolution of up to 44 nm. However, this method relies heavily on the sparsity of image sequences for super-resolution reconstruction and struggles to reconstruct images accurately when the bright-state probability of the fluorescence fluctuation signal is too high or the bright-dark ratio is too low. The MUSICAL method, which has lower resolution capabilities, offers superior denoising performance but exhibits poor image reconstruction consistency, uniformity, and a longer reconstruction time. The MSSR method has moderate resolution capabilities but exhibits superior image reconstruction consistency and uniformity and can be combined with other super-resolution algorithms to obtain higher-quality super-resolution images. Although the SOFI method has lower resolution and denoising capabilities, it exhibits good image reconstruction consistency and uniformity and exhibits a higher image reconstruction rate. A multilayer perceptron model was constructed with fluorescence fluctuation characteristics as inputs and the CEF values of different algorithms as outputs. An analysis of the generated and evaluated datasets showed that the constructed model achieves an accuracy of 92.3%, indicating reliable classification and recognition capabilities and enabling intelligent selection of the most suitable superresolution image reconstruction method under varying fluorescence fluctuation signal conditions. Conclusions We developed a comprehensive super-resolution image reconstruction platform using MATLAB, which implements signal generation and super-resolution image reconstruction functions under various fluorescence fluctuation conditions. The performances of multiple super-resolution algorithms across different fluorescence fluctuation scenarios were systematically evaluated. Leveraging of the dataset generated by the software platform enabled us to introduce a multi-layer perceptron model for intelligent algorithm selection. This in turn allowed for accurate classification and identification of the optimal super-resolution technique. This approach enhances research efficiency and assists researchers in selecting the most suitable fluorescence fluctuation method for various subcellular super-resolution imaging studies. The approach can further advance the application of fluorescence fluctuation-based superresolution imaging techniques for efficient investigation of the ultrafine structures of various biological subcellular organelles. © 2024 Science Press. All rights reserved.
Keyword ：
Failure analysis Failure analysis Fluorescence imaging Fluorescence imaging Fluorescence microscopy Fluorescence microscopy Health risks Health risks Image acquisition Image acquisition Image denoising Image denoising Image quality Image quality Image reconstruction Image reconstruction Image resolution Image resolution Negative bias temperature instability Negative bias temperature instability Photointerpretation Photointerpretation Reliability analysis Reliability analysis Software reliability Software reliability Thermography (imaging) Thermography (imaging)
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| GB/T 7714 | Zeng, Zhiping , Xu, Biqing , Qiu, Jin et al. Fluorescence Fluctuation-Based Super-Resolution Microscopic Imaging Based on a Multilayer Perceptron [J]. | Chinese Journal of Lasers , 2024 , 51 (21) . |
| MLA | Zeng, Zhiping et al. "Fluorescence Fluctuation-Based Super-Resolution Microscopic Imaging Based on a Multilayer Perceptron" . | Chinese Journal of Lasers 51 . 21 (2024) . |
| APA | Zeng, Zhiping , Xu, Biqing , Qiu, Jin , Chen, Xinyi , Xu, Canhua , Huang, Yantang . Fluorescence Fluctuation-Based Super-Resolution Microscopic Imaging Based on a Multilayer Perceptron . | Chinese Journal of Lasers , 2024 , 51 (21) . |
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基于荧光波动的超分辨显微成像是一类经济、便捷、适用性广的超分辨显微技术,但其在不同荧光时域波动条件下的成像质量具有较大差异,而且目前尚无统一的方法能够在不同类型荧光波动信号下均实现高质量的超分辨图像重建.因此,研究荧光波动特性变化对超分辨重建图像质量的影响至关重要.本课题组系统开展了多种超分辨成像方法在各种荧光波动条件下的成像研究.首先基于MATLAB软件开发了荧光波动超分辨成像软件系统,实现了多种荧光波动超分辨方法的同步运行并生成了数据集;然后对多种超分辨方法的性能及成像质量进行了多维度的系统研究,并构建了多层感知机模型,用于分选不同荧光波动信号条件下最适用的超分辨成像方法.结果表明,所构建的多层感知机模型的输出准确率达到了 92.3％,具备准确可靠的分类识别能力,能够促进荧光波动超分辨成像技术更高效地应用于各类生物亚细胞器的超精细结构研究.
Keyword ：
多层感知机 多层感知机 荧光波动 荧光波动 衍射极限 衍射极限 超分辨成像 超分辨成像
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| GB/T 7714 | 曾志平 , 许必晴 , 邱锦 et al. 基于多层感知机的荧光波动超分辨显微成像 [J]. | 中国激光 , 2024 , 51 (21) : 62-72 . |
| MLA | 曾志平 et al. "基于多层感知机的荧光波动超分辨显微成像" . | 中国激光 51 . 21 (2024) : 62-72 . |
| APA | 曾志平 , 许必晴 , 邱锦 , 陈欣怡 , 许灿华 , 黄衍堂 . 基于多层感知机的荧光波动超分辨显微成像 . | 中国激光 , 2024 , 51 (21) , 62-72 . |
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Pancharatnam Berry (PB) phase optical elements can manipulate local polarization state of light in the cross-sectional plane by addressing an additional PB phase relating to the orientation of the optical axis of the waveplate-like structure. However, chromatic aberration including spectrum-dependent retardation and diffraction efficiency limits their applications in the field of visible broadband imaging and display. In this article, the chromatic aberration of a liquid crystal (LC) PB phase lens was measured by a home-built RGB full -Stokes imaging polarimeter. The chirality conversion efficiency and depolarization at RGB wavelengths can be calculated from the measured Stokes vectors. Our experiments show that even the spectrum-dependent retar-dation exists, the measured PB phase lens has a uniform and high diffraction efficiency in the visible band. Affected by the local LC molecule, the input polarization of RGB light was rotated in varying degrees, but the focusing or defocusing manipulation to the right-or left-hand circular polarization, originated from the PB phase, results in fixed focal lengths for different colors. Our experiments show that the LC-based PB phase lens is suitable for the visible broadband applications.
Keyword ：
Chromatic aberration Chromatic aberration Full-Stokes' RGB imaging Full-Stokes' RGB imaging LCVR LCVR Pancharatnam Berry phase Pancharatnam Berry phase
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| GB/T 7714 | Xu, CanHua , Zhou, Tian , Zheng, DaiFu et al. Chromatic aberration measurement of liquid crystal Pancharatnam Berry phase lens by a RGB full-Stokes imaging polarimeter [J]. | OPTICS AND LASER TECHNOLOGY , 2023 , 166 . |
| MLA | Xu, CanHua et al. "Chromatic aberration measurement of liquid crystal Pancharatnam Berry phase lens by a RGB full-Stokes imaging polarimeter" . | OPTICS AND LASER TECHNOLOGY 166 (2023) . |
| APA | Xu, CanHua , Zhou, Tian , Zheng, DaiFu , Ma, Jing , Huang, YanTang , Zeng, ZhiPing . Chromatic aberration measurement of liquid crystal Pancharatnam Berry phase lens by a RGB full-Stokes imaging polarimeter . | OPTICS AND LASER TECHNOLOGY , 2023 , 166 . |
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