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| 1 | 计算光学成像:何来,何处,何去,何从?显示文摘计算光学成像是一种通过联合优化光学系统和信号处理以实现特定成像功能与特性的新兴研究领域。它并不是光学成像和数字图像处理的简单补充,而是前端(物理域)的光学调控与后端(数字域)信息处理的有机结合,通过对照明、成像系统进行光学编码与数学建模,以计算重构的方式获取图像与信息。这种新型的成像方式将有望突破传统光学成像技术对光学系统以及探测器制造工艺、工作条件、功耗成本等因素的限制,使其在功能(相位、光谱、偏振、光场、相干度、折射率、三维形貌、景深延拓,模糊复原,数字重聚焦,改变观测视角)、性能(空间分辨、时间分辨、光谱分辨、信息维度与探测灵敏度)、可靠性、可维护性等方面获得显著提高。现阶段,计算光学成像已发展为一门集几何光学、信息光学、计算光学、现代信号处理等理论于一体的新兴交叉技术研究领域,成为光学成像领域的国际研究重点和热点,代表了先进光学成像技术的未来发展方向。国内外众多高校与科研院所投身其中,使该领域全面进入了“百花齐放,百家争鸣”的繁荣发展局面。作为本期《红外与激光工程》——南京理工大学专刊“计算光学成像技术”专栏的首篇论文,本文概括性地综述了计算光学成像领域的历史沿革、发展现状、并展望其未来发展方向与所依赖的核心赋能技术,以求抛砖引玉。 | 左超 陈钱 | 2022 | 红外与激光工程2022，51，2： | 25 |
| 2 | 超快激光光束整形原理与方法及其在功能性微结构制造中的应用显示文摘随着功能性微结构的制造品质要求不断推向新的极端,超快激光微纳制造迎来了新的挑战,如更高的加工效率、跨尺度加工、选择性加工及可控性加工等。因传统超快激光高斯光束的空间和时间能量分布在加工中的局限性,以单点聚焦扫描为主的加工方法难以满足新的制造精度、效率和跨尺度加工要求。基于此,研究者将目光聚焦到超快激光光束整形的制造方法上。本文从传统超快激光光束的特点及其加工局限性角度出发,分空域光束整形、时域光束整形和时空域协同光束整形,介绍了超快激光光束整形技术的基本原理和主要实现途径;阐述了这些技术在功能性微结构制造方面的典型应用和研究进展;最后,总结和讨论了超快激光光束整形技术应用于功能性微结构制造中存在的问题和发展前景。 | 丁铠文 王聪 罗志 梁会勇 段吉安 | 2021 | 中国激光2021，48，2： | 11 |
| 3 | Single femtosecond laser beam induced nanogratings in transparentmedia - Mechanisms and applications显示文摘Single femtosecond laser beam induced nanograting structure in transparent media has attracted extensive attention in many fields of science and technology in the past decades.Considering the excellent physicochemical properties and promising applications,it will continue to be a hot topic in the field of laser-matter interaction in the future.Over the recent ten years,both fundamental research and practical application have gained tremendous advances.We have witnessed the finding of novel fresh phenomena,imaginative physical models and promising technologies related to femtosecond laser induced nanogratings in transparent materials.However,despite those achievements,numerous issues related to mechanism,material dependence and process are still far from completely solved.This review will focus on recent research progress including basic properties,theory models,control methods and potential applications.Achievements in recent five years are discussed in detail and several core issues are specially commented.The future developing trend is also prospected.©2019 The Chinese Ceramic Society. | Bo Zhang Xiaofeng Liu Jianrong Qiu | 2019 | Journal of Materiomics2019，5，1： | 6 |
| 4 | Single-shot compressed ultrafast photography: a review显示文摘Compressed ultrafast photography(CUP)is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames.This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot.With recent unprecedented technical developments and extensions of this methodology,it has been widely used in ultrafast optical imaging and metrology,ultrafast electron diffraction and microscopy,and information security protection.We review the basic principles of CUP,its recent advances in data acquisition and image reconstruction,its fusions with other modalities,and its unique applications in multiple research fields. | Dalong Qi Shian Zhang Chengshuai Yang Yilin He Fengyan Cao Jiali Yao Pengpeng Ding Liang Gao Tianqing Jia Jinyang Liang Zhenrong Sun Lihong V.Wange | 2020 | Advanced Photonics2020，2，1： | 5 |
| 5 | Single-shot spectral-volumetric compressed ultrafast photography显示文摘In ultrafast optical imaging,it is critical to obtain the spatial structure,temporal evolution,and spectral composition of the object with snapshots in order to better observe and understand unrepeatable or irreversible dynamic scenes.However,so far,there are no ultrafast optical imaging techniques that can simultaneously capture the spatial–temporal–spectral five-dimensional(5D)information of dynamic scenes.To break the limitation of the existing techniques in imaging dimensions,we develop a spectral-volumetric compressed ultrafast photography(SV-CUP)technique.In our SV-CUP,the spatial resolutions in the x,y and z directions are,respectively,0.39,0.35,and 3 mm with an 8.8 mm×6.3 mm field of view,the temporal frame interval is 2 ps,and the spectral frame interval is 1.72 nm.To demonstrate the excellent performance of our SV-CUP in spatial–temporal–spectral 5D imaging,we successfully measure the spectrally resolved photoluminescent dynamics of a 3D mannequin coated with CdSe quantum dots.Our SV-CUP brings unprecedented detection capabilities to dynamic scenes,which has important application prospects in fundamental research and applied science. | Pengpeng Ding Yunhua Yao Dalong Qi Chengshuai Yang Fengyan Cao Yilin He Jiali Yao Chengzhi Jin Zhengqi Huang Li Deng Lianzhong Deng Tianqing Jia Jinyang Liang Zhenrong Sun Shian Zhang | 2021 | Advanced Photonics2021，3，4： | 3 |
| 6 | High-fidelity image reconstruction for compressed ultrafast photography via an augmented-Lagrangian and deep-learning hybrid algorithm显示文摘Compressed ultrafast photography(CUP) is the fastest single-shot passive ultrafast optical imaging technique,which has shown to be a powerful tool in recording self-luminous or non-repeatable ultrafast phenomena.However, the low fidelity of image reconstruction based on the conventional augmented-Lagrangian(AL)and two-step iterative shrinkage/thresholding(Tw IST) algorithms greatly prevents practical applications of CUP, especially for those ultrafast phenomena that need high spatial resolution. Here, we develop a novel AL and deep-learning(DL) hybrid(i.e., AL+DL) algorithm to realize high-fidelity image reconstruction for CUP. The AL+DL algorithm not only optimizes the sparse domain and relevant iteration parameters via learning the dataset but also simplifies the mathematical architecture, so it greatly improves the image reconstruction accuracy. Our theoretical simulation and experimental results validate the superior performance of the AL+DL algorithm in image fidelity over conventional AL and Tw IST algorithms, where the peak signalto-noise ratio and structural similarity index can be increased at least by 4 d B(9 d B) and 0.1(0.05) for a complex(simple) dynamic scene, respectively. This study can promote the applications of CUP in related fields, and it will also enable a new strategy for recovering high-dimensional signals from low-dimensional detection. | CHENGSHUAI YANG YUNHUA YAO CHENGZHI JIN DALONG QI FENGYAN CAO YILIN HE JIALI YAO PENGPENG DING LIANG GAO TIANQING JIA JINYANG LIANG ZHENRONG SUN SHIAN ZHANG | 2021 | Photonics Research2021，9，2： | 2 |
| 7 | Femtosecond laser fabrication of 3D templates for mass production of artificial compound eyes显示文摘Compound eyes are unique optical imaging systems that consist of numerous separate light-sensitive units(ommatidia).Attempts have been made to produce artificial compound eyes via advanced 3 D nanotechnologies.Among them,femtosecond laser direct writing(FsLDW)technology has emerged as an effective strategy due to its distinct advantages in 3 D designable and high precision fabrication capability.However,the point-by-point scanning process results in a very low fabrication efficiency,limiting the practical applications of the FsLDW technology.To solve this problem,we propose a high-efficiency method for the mass production of 3 D artificial compound eyes using a photopolymer template fabricated by FsLDW.The resultant 3 D SU-8 compound eye templates could be used to replicate polydimethylsiloxane(PDMS)compound eyes many times(over 50 times)with a highly improved efficiency(nearly 20 times higher than the efficiency of direct fabrication using the point-by-point FsLDW).The PDMS replicas showed good focusing and imaging performances.We anticipate that this method may serve as an enabler for the mass production of 3 D artificial compound eyes and promote their practical applications in the near future. | Guang-Xin Jin Xin-Yu Hu Zhuo-Chen Ma Chun-He Li Yong-Lai Zhang Hong-Bo Sun | 2019 | Nanotechnology and Precision Engineering2019，2，3： | 1 |
| 8 | Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder显示文摘Single-shot 2 D optical imaging of transient scenes is indispensable for numerous areas of study.Among existing techniques,compressed optical-streaking ultrahigh-speed photography(COSUP)uses a cost-efficient design to endow ultrahigh frame rates with off-the-shelf CCD and CMOS cameras.Thus far,COSUP’s application scope is limited by the long processing time and unstable image quality in existing analytical-modeling-based video reconstruction.To overcome these problems,we have developed a snapshot-to-video autoencoder(S2 V-AE)—which is a deep neural network that maps a compressively recorded 2 D image to a movie.The S2 V-AE preserves spatiotemporal coherence in reconstructed videos and presents a flexible structure to tolerate changes in input data.Implemented in compressed ultrahigh-speed imaging,the S2 V-AE enables the development of single-shot machine-learning assisted real-time(SMART)COSUP,which features a reconstruction time of 60 ms and a large sequence depth of 100 frames.SMART-COSUP is applied to wide-field multiple-particle tracking at 20,000 frames per second.As a universal computational framework,the S2 V-AE is readily adaptable to other modalities in high-dimensional compressed sensing.SMART-COSUP is also expected to find wide applications in applied and fundamental sciences. | XIANGLEI LIU JOÃO MONTEIRO ISABELA ALBUQUERQUE YINGMING LAI CHENG JIANG SHIAN ZHANG TIAGO H.FALK JINYANG LIANG | 2021 | Photonics Research2021，9，12： | 0 |
| 9 | Single-shot compressed optical field topography显示文摘Femtosecond lasers are powerful in studying matter's ultrafast dynamics within femtosecond to attosecond time scales.Drawing a three-dimensional(3D)topological map of the optical field of a femtosecond laser pulse including its spatiotemporal amplitude and phase distributions,allows one to predict and understand the underlying physics of light interaction with matter,whose spatially resolved transient dielectric function experiences ultrafast evolution.However,such a task is technically challenging for two reasons:first,one has to capture in single-shot and squeeze the 3D information of an optical field profile into a two-dimensional(2D)detector;second,typical detectors are only sensitive to intensity or amplitude information rather than phase.Here we have demonstrated compressed optical field topography(COFT)drawing a 3D map for an ultrafast optical field in single-shot,by combining the coded aperture snapshot spectral imaging(CASSI)technique with a global 3D phase retrieval procedure.COFT can,in single-shot,fully characterize the spatiotemporal coupling of a femtosecond laser pulse,and live stream the light-speed propagation of an air plasma ionization front,unveiling its potential applications in ultrafast sciences. | HAOCHENG TANG TING MEN XIANGLEI LIU YAODAN HU JINGQIN SU YANLEI ZUO PING LI JINYANG LIANG MICHAEL C.DOWNER ZHENGYAN LI | 2022 | Light(Science & Applications)2022，11，9： | 0 |
| 10 | 计算光学成像在惯性约束聚变中的应用及技术进展显示文摘随着能量输出能力的不断提升,高功率激光驱动器运行对光学元件的性能和打靶光束的质量都有了更高要求。传统测量仪器结构复杂、精度有限,难以满足实验需求。朱健强课题组将计算成像技术引入到高功率激光驱动器的参数测量中,精确测量大口径光学元件的形貌、应力分布、热畸变等特征,脉冲光束的时间、空间、近远场分布等参量,以及激光与物质相互作用的过程;进一步发展相干衍射成像(CDI)技术,开发出单次曝光三维PIE(ptychography iterative engine)技术、多模态相干调制成像(CMI)技术、分束编码成像技术等,建立了相干衍射成像技术的解析模型,在数学上分析了CDI技术解的唯一性。本文主要综述了课题组在惯性约束聚变中计算光学成像技术应用方面的研究进展。 | 昌成成 潘良泽 徐英明 吴丽青 陶华 刘登 陈飞 刘诚 朱健强 | 2023 | 光学学报2023，43，22： | 0 |
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