PhotoniX最新文献

{"title":"Single-color peripheral photoinhibition lithography of nanophotonic structures","authors":"Minfei He, Zhimin Zhang, Chun Cao, Yiwei Qiu, Xiaoming Shen, Guozun Zhou, Z. Cai, Xinjie Sun, Xin He, Liang Xu, Xi Liu, Chenliang Ding, Yaoyu Cao, C. Kuang, Xu Liu","doi":"10.1186/s43074-022-00072-2","DOIUrl":"https://doi.org/10.1186/s43074-022-00072-2","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47466845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive optical quantitative phase imaging based on annular illumination Fourier ptychographic microscopy","authors":"Ye Shu, Jiasong Sun, Jiaming Lyu, Yao Fan, N. Zhou, Ran Ye, G. Zheng, Qian Chen, C. Zuo","doi":"10.1186/s43074-022-00071-3","DOIUrl":"https://doi.org/10.1186/s43074-022-00071-3","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44246896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasmonic anapole metamaterial for refractive index sensing","authors":"J. Yao, J. Ou, V. Savinov, M. Chen, H. Kuo, N. Zheludev, D. Tsai","doi":"10.1186/s43074-022-00069-x","DOIUrl":"https://doi.org/10.1186/s43074-022-00069-x","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-induced transparency in a perfectly absorbing chiral second-harmonic generator","authors":"Jiankun Hou, Jintian Lin, Jiefu Zhu, Guolin Zhao, Yao Chen, Fangxing Zhang, Yuanlin Zheng, Xianfeng Chen, Yanfeng Cheng, Licheng Ge, W. Wan","doi":"10.1186/s43074-022-00068-y","DOIUrl":"https://doi.org/10.1186/s43074-022-00068-y","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46587339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frequency-swept feedback interferometry for noncooperative-target ranging with a stand-off distance of several hundred meters","authors":"Yifan Wang, Xinjian Xu, Zongren Dai, Ziyun. Hua, Chen Lin, Yubin Hou, Qian Zhang, Pu Wang, Y. Tan","doi":"10.1186/s43074-022-00067-z","DOIUrl":"https://doi.org/10.1186/s43074-022-00067-z","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43457416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuous optical zoom microscope with extended depth of field and 3D reconstruction","authors":"Chao Liu, Zhao Jiang, Xin Wang, Yi Zheng, Yi Zheng, Qiong-Hua Wang","doi":"10.1186/s43074-022-00066-0","DOIUrl":"https://doi.org/10.1186/s43074-022-00066-0","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44700014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth","authors":"Zhihong Zhang, Bo Zhang, Xin Yuan, Siming Zheng, Xiongfei Su, Jinli Suo, David J. Brady, Qionghai Dai","doi":"10.1186/s43074-022-00065-1","DOIUrl":"https://doi.org/10.1186/s43074-022-00065-1","url":null,"abstract":"<p>High-throughput imaging is highly desirable in intelligent analysis of computer vision tasks. In conventional design, throughput is limited by the separation between physical image capture and digital post processing. Computational imaging increases throughput by mixing analog and digital processing through the image capture pipeline. Yet, recent advances of computational imaging focus on the “compressive sampling”, this precludes the wide applications in practical tasks. This paper presents a systematic analysis of the next step for computational imaging built on snapshot compressive imaging (SCI) and semantic computer vision (SCV) tasks, which have independently emerged over the past decade as basic computational imaging platforms.</p><p> SCI is a physical layer process that maximizes information capacity per sample while minimizing system size, power and cost. SCV is an abstraction layer process that analyzes image data as objects and features, rather than simple pixel maps. In current practice, SCI and SCV are independent and sequential. This concatenated pipeline results in the following problems: <i>i</i>) a large amount of resources are spent on task-irrelevant computation and transmission, <i>ii</i>) the sampling and design efficiency of SCI is attenuated, and <i>iii</i>) the final performance of SCV is limited by the reconstruction errors of SCI. Bearing these concerns in mind, this paper takes one step further aiming to bridge the gap between SCI and SCV to take full advantage of both approaches.</p><p> After reviewing the current status of SCI, we propose a novel joint framework by conducting SCV on raw measurements captured by SCI to select the region of interest, and then perform reconstruction on these regions to speed up processing time. We use our recently built SCI prototype to verify the framework. Preliminary results are presented and the prospects for a joint SCI and SCV regime are discussed. By conducting computer vision tasks in the compressed domain, we envision that a new era of snapshot compressive imaging with limited end-to-end bandwidth is coming.</p>","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138543697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrafast Raman fiber laser: a review and prospect","authors":"Jiaqi Zhou, Weiwei Pan, W. Qi, Xinru Cao, Z. Cheng, Yan Feng","doi":"10.1186/s43074-022-00064-2","DOIUrl":"https://doi.org/10.1186/s43074-022-00064-2","url":null,"abstract":"","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65800819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fiber laser development enabled by machine learning: review and prospect","authors":"Min Jiang, Hanshuo Wu, Yi An, Tianyue Hou, Qi Chang, Liangjin Huang, Jun Li, Rongtao Su, Pu Zhou","doi":"10.1186/s43074-022-00055-3","DOIUrl":"https://doi.org/10.1186/s43074-022-00055-3","url":null,"abstract":"<p>In recent years, machine learning, especially various deep neural networks, as an emerging technique for data analysis and processing, has brought novel insights into the development of fiber lasers, in particular complex, dynamical, or disturbance-sensitive fiber laser systems. This paper highlights recent attractive research that adopted machine learning in the fiber laser field, including design and manipulation for on-demand laser output, prediction and control of nonlinear effects, reconstruction and evaluation of laser properties, as well as robust control for lasers and laser systems. We also comment on the challenges and potential future development.</p>","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"160 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-enabled compact optical trigonometric operator with metasurface","authors":"Zihan Zhao, Yue Wang, Chunsheng Guan, Kuang Zhang, Qun Wu, Haoyu Li, Jian Liu, Shah Nawaz Burokur, Xumin Ding","doi":"10.1186/s43074-022-00062-4","DOIUrl":"https://doi.org/10.1186/s43074-022-00062-4","url":null,"abstract":"<p>In this paper, a novel strategy based on a metasurface composed of simple and compact unit cells to achieve ultra-high-speed trigonometric operations under specific input values is theoretically and experimentally demonstrated. An electromagnetic wave (EM)-based optical diffractive neural network with only one hidden layer is physically built to perform four trigonometric operations (sine, cosine, tangent, and cotangent functions). Under the unique composite input mode strategy, the designed optical trigonometric operator responds to incident light source modes that represent different trigonometric operations and input values (within one period), and generates correct and clear calculated results in the output layer. Such a wave-based operation is implemented with specific input values, and the proposed concept work may offer breakthrough inspiration to achieve integrable optical computing devices and photonic signal processors with ultra-fast running speeds.</p>","PeriodicalId":93483,"journal":{"name":"PhotoniX","volume":"158 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}