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学者姓名：许灿华
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Abstract ：
Lensless imaging microscopy has gained extensive application with the merits of system compactness and cost efficiency; however, its spatial resolution is usually compromised compared to conventional lens-based microscopes. To further enhance the spatial resolution, we built a lensless imaging system integrating a phase mask and a CMOS image sensor, and employed fluorescence fluctuation super-resolution microscopy (FF-SRM) algorithms to fully exploit the fluorescence intermittency (FI) characteristics of fluorescent molecules for high-resolution lensless image reconstruction. The study demonstrates that lensless image sequences processed by the Wiener deconvolution method can effectively retain the original fluorescence intermittency information, allowing for high-resolution reconstruction using FF-SRM algorithms. Furthermore, by combining expansion microscopy (ExM) and leveraging multi-algorithm synergy, we obtained additional improvements in spatial resolution and image quality for lensless imaging, facilitating clear visualization of biological subcellular organelles. This scheme offers a new pathway to achieve high spatial resolution imaging with practical advantages in simplicity and affordability.
Keyword ：
fluorescence intermittency fluorescence intermittency lensless imaging lensless imaging multi-algorithm synergy multi-algorithm synergy super-resolution reconstruction super-resolution reconstruction
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| GB/T 7714 | Zeng, Zhiping , Chen, Xinyi , Xu, Biqing et al. High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency [J]. | JOURNAL OF BIOPHOTONICS , 2025 . |
| MLA | Zeng, Zhiping et al. "High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency" . | JOURNAL OF BIOPHOTONICS (2025) . |
| APA | Zeng, Zhiping , Chen, Xinyi , Xu, Biqing , Qiu, Jin , Huang, Yantang , Xu, Canhua . High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency . | JOURNAL OF BIOPHOTONICS , 2025 . |
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结合光学变换矩阵和柯林斯公式,设计了一个基于几何相位透镜的自干涉数字全息系统,展示了其在处理不同光学配置时的灵活性.推导出的图像重建距离公式仅依赖于4个光学传输矩阵元素B1、B2、D1 和D2,简化了计算过程并显著提高了效率.此外,定义了参数k,用于量化受系统几何参数、干涉区域以及衍射距离影响的重建平面上的相对相位变化.通过优化k,在不同实验条件下分别实现了25.398 lp/mm、40.318 lp/mm和50.797 lp/mm的图像分辨率.研究证明,柯林斯公式与光学传输矩阵相结合,可有效优化自干涉数字全息系统,提供了一种提高数字全息图像质量和分辨率的实用方法.
Keyword ：
光学变换矩阵 光学变换矩阵 几何相位透镜 几何相位透镜 图像分辨率 图像分辨率 柯林斯公式 柯林斯公式 自干涉数字全息 自干涉数字全息 重建距离 重建距离
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| GB/T 7714 | 王雅婷 , 薛孔松 , 毛梦瑶 et al. 基于柯林斯公式的自干涉数字全息系统优化 [J]. | 光学学报 , 2025 , 45 (1) : 48-57 . |
| MLA | 王雅婷 et al. "基于柯林斯公式的自干涉数字全息系统优化" . | 光学学报 45 . 1 (2025) : 48-57 . |
| APA | 王雅婷 , 薛孔松 , 毛梦瑶 , 许灿华 . 基于柯林斯公式的自干涉数字全息系统优化 . | 光学学报 , 2025 , 45 (1) , 48-57 . |
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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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Objective Our research aims to optimize the self-interference digital holography (SIDH) system by using the Collins formula. We focus on simplifying the calculation of the reconstruction distance and improving the phase accuracy in holographic image reconstruction. SIDH systems, unlike conventional holography systems that rely on coherent light sources, can use incoherent light sources such as natural light, LED lamps, and flashlights. This flexibility eliminates problems related to speckle noise, which often occur in laser-based holography, and thus improves the quality of holographic imaging. However, traditional diffraction-based models in SIDH systems cause great computational complexity, especially when dealing with complex optical configurations. This complexity not only reduces the imaging performance but also restricts the system's adaptability to various practical applications. In this study, we address these challenges by integrating optical transformation matrices with the Collins formula to optimize the SIDH system. A key aspect of the research is to derive a simplified reconstruction distance formula based on the system's optical parameters. This formula depends only on four optical transfer matrix elements-B-1, B-2, D-1, and D-2. Additionally, we introduce the parameter k to measure the phase variations on the reconstruction plane. These variations are affected by the system's geometric parameters, interference region limitations, and diffraction distance. By optimizing this parameter, we improve the system's image resolution and its adaptability to different experimental setups. Methods Our methodology focuses on combining the Collins diffraction formula with optical transformation matrices to model and optimize the light propagation in the SIDH system. The Collins formula provides a mathematical framework for calculating the diffraction patterns generated when light passes through optical elements. This enables accurate prediction of the light's phase and amplitude variations. In the SIDH system, geometric phase lens (GPL) is employed to split incident light into right-handed circularly polarized (RCP) and left-handed circularly polarized (LCP) components. The RCP component acts as if it has passed through a converging lens, while the LCP component acts as if it has passed through a diverging lens. This facilitates self-interference and enables hologram capture. The system's key geometric parameters include the distance between the object and the GPL (z(0) ) and the distance between the GPL and the imaging sensor (z(h)) (Fig. 1). We describe the propagation of RCP and LCP light fields using optical transfer matrices M-1 and M-2 , respectively. These matrices account for the system's geometric effects on the light waves. We simplify the computation of the reconstruction distance z(rec) by applying the Collins formula together with the optical transfer matrices. This approach allows us to derive the simplified formula for the reconstruction distance, which greatly reduces the computational complexity compared to traditional diffraction models. Additionally, the parameter k is introduced to represent the phase variation due to geometric asymmetries and diffraction effects in the system. By optimizing this parameter, we can improve the system's phase accuracy and image resolution. This allows us to fine-tune the SIDH system's configuration to obtain high-quality holographic images. Results and Discussions The simplified reconstruction distance formula derived in our study reduces the computational burden of diffraction calculations in SIDH systems. To verify the proposed method, we conduct three sets of experiments using a compact SIDH system equipped with a GPL of focal length 40 mm and a monochromatic polarized imaging sensor. We use a USAF1951 resolution target to evaluate the system's performance. The experimental setup captures holograms of the target, and then we process them to reconstruct amplitude and phase information (Fig. 6). In experiment 1, with z(0) = 14 mm and z(h) = 30 mm, we obtain a reconstructed image resolution of 25.398 lp/mm at an optimal reconstruction distance of 189.3 mm (Fig. 7). This value closely matches the theoretical reconstruction distance of 186.3 mm, demonstrating the accuracy of the simplified formula. In experiment 2, with z(0) = 14 mm and z(h) = 80 mm, the reconstruction distance is calculated to be 821.6 mm. At a slightly adjusted distance of 826.0 mm, the system achieves a resolution of 40.318lp/mm (Fig. 9). Experiment 3 tests at z(0) = 15 mm and z(h) = 48 mm, resulting in a calculated reconstruction distance of 324.0 mm. The experimental results show the highest resolution of 50.797 lp/mm at a reconstruction distance of 328.0 mm, further validating the simplified formula (Fig. 9). These experimental results confirm that the derived reconstruction distance formula provides accurate predictions, with discrepancies between theoretical and experimental values of less than 2%. Furthermore, optimizing the parameter k improves the phase accuracy. Smaller values of this parameter correspond to reduced geometric asymmetry, enhancing the image resolution. Conclusions In this study, we successfully apply the Collins formula and optical transformation matrices to optimize the SIDH system. By deriving a simplified reconstruction distance formula that depends only on four optical transfer matrix elements, we significantly reduce the computational complexity of holographic image reconstruction. The introduction of the parameter k enables effective optimization of the phase accuracy, ensuring high-quality image reconstruction under different experimental conditions. The experimental results, with resolutions of up to 50.797lp/mm, demonstrate the robustness and accuracy of the proposed approach. This research provides a practical method for enhancing the performance of SIDH systems, bringing significant improvements in computational efficiency and image quality for future applications in incoherent digital holography.
Keyword ：
Collins formula Collins formula geometric phase lens geometric phase lens image resolution image resolution optical transformation matrix optical transformation matrix reconstruction distance reconstruction distance self-interference digital holography self-interference digital holography
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| GB/T 7714 | Wang, Yating , Xue, Kongsong , Mao, Mengyao et al. Optimization of Self-Interference Digital Holographic System Based on Collins Formula [J]. | ACTA OPTICA SINICA , 2025 , 45 (1) . |
| MLA | Wang, Yating et al. "Optimization of Self-Interference Digital Holographic System Based on Collins Formula" . | ACTA OPTICA SINICA 45 . 1 (2025) . |
| APA | Wang, Yating , Xue, Kongsong , Mao, Mengyao , Xu, Canhua . Optimization of Self-Interference Digital Holographic System Based on Collins Formula . | ACTA OPTICA SINICA , 2025 , 45 (1) . |
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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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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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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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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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