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All-optical complex field imaging using diffractive processors

Light(Science & Applications) 2024年第6期13卷 1122-1139页

作者： Jingxi Li Yuhang Li tianyi gan Che-Yung Shen Mona Jarrahi Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA90095USA Bioengineering Department University of CaliforniaLos AngelesCA90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA90095USA

Complex field imaging,which captures both the amplitude and phase information of input optical fields or objects,can offer rich structural insights into samples,such as their absorption and refractive index ***,conventional image sensors are intensity-based and inherently lack the capability to directly measure the phase distribution of a *** limitation can be overcome using interferometric or holographic methods,often supplemented by iterative phase retrieval algorithms,leading to a considerable increase in hardware complexity and computational ***,we present a complex field imager design that enables snapshot imaging of both the amplitude and quantitative phase information of input fields using an intensity-based sensor array without any digital *** design utilizes successive deep learning-optimized diffractive surfaces that are structured to collectively modulate the input complex field,forming two independent imaging channels that perform amplitude-to-amplitude and phase-to-intensity transformations between the input and output planes within a compact optical design,axially spanning~100 *** intensity distributions of the output fields at these two channels on the sensor plane directly correspond to the amplitude and quantitative phase profiles of the input complex field,eliminating the need for any digital image reconstruction *** experimentally validated the efficacy of our complex field diffractive imager designs through 3D-printed prototypes operating at the terahertz spectrum,with the output amplitude and phase channel images closely aligning with our numerical *** envision that this complex field imager will have various applications in security,biomedical imaging,sensing and material science,among others.

关键词： field. utilize collective

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All-optical image denoising using a diffractive visual processor

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Light(Science & Applications) 2024年第3期13卷 429-445页

作者： Çağatay Işıl tianyi gan Fazil Onuralp Ardic Koray Mentesoglu Jagrit Digani Huseyin Karaca Hanlong Chen Jingxi Li Deniz Mengu Mona Jarrahi Kaan Akşit Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA University College London Department of Computer ScienceLondonUnited Kingdom

Image denoising,one of the essential inverse problems,targets to remove noise/artifacts from input *** general,digital image denoising algorithms,executed on computers,present latency due to several iterations implemented in,e.g.,graphics processing units(GPUs).While deep learning-enabled methods can operate non-iteratively,they also introduce latency and impose a significant computational burden,leading to increased power ***,we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images–implemented at the speed of light propagation within a thin diffractive visual processor that axially spans<250×λ,whereλis the wavelength of *** all-optical image denoiser comprises passive transmissive layers optimized using deep learning to physically scatter the optical modes that represent various noise features,causing them to miss the output image Field-of-View(FoV)while retaining the object features of *** results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of~30–40%.We experimentally demonstrated the effectiveness of this analog denoiser architecture using a 3D-printed diffractive visual processor operating at the terahertz *** to their speed,power-efficiency,and minimal computational overhead,all-optical diffractive denoisers can be transformative for various image display and projection systems,including,e.g.,holographic displays.

关键词： remove rendering holographic

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Massively parallel universal linear transformations using a wavelength-multiplexed diffractive optical network

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Advanced Photonics 2023年第1期5卷 27-49页

作者： Jingxi Li tianyi gan Bijie Bai Yi Luo Mona Jarrahi Aydogan Ozcan University of California Electrical and Computer Engineering DepartmentLos AngelesCaliforniaUnited States University of California Bioengineering DepartmentLos AngelesCaliforniaUnited States University of California California NanoSystems InstituteLos AngelesCaliforniaUnited States

Large-scale linear operations are the cornerstone for performing complex computational *** optical computing to perform linear transformations offers potential advantages in terms of speed,parallelism,and ***,the design of successive spatially engineered diffractive surfaces forming an optical network was demonstrated to perform statistical inference and compute an arbitrary complex-valued linear transformation using narrowband *** report deep-learning-based design of a massively parallel broadband diffractive neural network for all-optically performing a large group of arbitrarily selected,complex-valued linear transformations between an input and output field of view,each with Ni and No pixels,*** broadband diffractive processor is composed of Nw wavelength channels,each of which is uniquely assigned to a distinct target transformation;a large set of arbitrarily selected linear transformations can be individually performed through the same diffractive network at different illumination wavelengths,either simultaneously or sequentially(wavelength scanning).We demonstrate that such a broadband diffractive network,regardless of its material dispersion,can successfully approximate Nw unique complex-valued linear transforms with a negligible error when the number of diffractive neurons(N)in its design is≥*** further report that the spectral multiplexing capability can be increased by increasing N;our numerical analyses confirm these conclusions for Nw>180 and indicate that it can further increase to Nw∼2000,depending on the upper bound of the approximation *** parallel,wavelength-multiplexed diffractive networks will be useful for designing highthroughput intelligent machine-vision systems and hyperspectral processors that can perform statistical inference and analyze objects/scenes with unique spectral properties.

关键词： optical neural network deep learning diffractive optical network wavelength multiplexing optical computing

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Optical information transfer through random unknown diffusers using electronic encoding and diffractive decoding

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先进光子学(英文) 2023年第4期5卷 85-99页

作者： Yuhang Li tianyi gan Bijie Bai Cagatay Isıl Mona Jarrahi Aydogan Ozcan University of California Department of Electrical and Computer EngineeringLos AngelesCaliforniaUnited States University of California Department of BioengineeringLos AngelesCaliforniaUnited States University of California California NanoSystems InstituteLos AngelesCaliforniaUnited States

Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. We demonstrate an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest, corresponding to, e.g., any arbitrary input object or message, through unknown random phase diffusers along the optical path. This hybrid electronic-optical model, trained using supervised learning, comprises a convolutional neural network-based electronic encoder and successive passive diffractive layers that are jointly optimized. After their joint training using deep learning,our hybrid model can transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers never seen before. The resulting electronic-encoder and optical-decoder model was experimentally validated using a 3D-printed diffractive network that axially spans <70λ, whereλ = 0.75 mm is the illumination wavelength in the terahertz spectrum, carrying the desired optical information through random unknown diffusers. The presented framework can be physically scaled to operate at different parts of the electromagnetic spectrum, without retraining its components, and would offer low-power and compact solutions for optical information transfer in free space through unknown random diffusive media.

关键词： optical information transfer electronic encoding optical decoder diffractive neural network diffusers

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To image,or not to image:class-specific diffractive cameras with all-optical erasure of undesired objects

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eLight 2022年第1期2卷 165-184页

作者： Bijie Bai Yi Luo tianyi gan Jingtian Hu Yuhang Li Yifan Zhao Deniz Mengu Mona Jarrahi Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos Angeles 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCAUSA

Privacy protection is a growing concern in the digital era,with machine vision techniques widely used throughout public and private *** methods address this growing problem by,e.g.,encrypting camera images or obscuring/blurring the imaged information through digital ***,we demonstrate a camera design that performs class-specific imaging of target objects with instantaneous all-optical erasure of other classes of *** diffractive camera consists of transmissive surfaces structured using deep learning to perform selective imaging of target classes of objects positioned at its input *** their fabrication,the thin diffractive layers collectively perform optical mode filtering to accurately form images of the objects that belong to a target data class or group of classes,while instantaneously erasing objects of the other data classes at the output *** the same framework,we also demonstrate the design of class-specific permutation and class-specific linear transformation cameras,where the objects of a target data class are pixel-wise permuted or linearly transformed following an arbitrarily selected transformation matrix for all-optical class-specific encryption,while the other classes of objects are irreversibly erased from the output *** success of class-specific diffractive cameras was experimentally demonstrated using terahertz(THz)waves and 3D-printed diffractive layers that selectively imaged only one class of the MNIST handwritten digit dataset,all-optically erasing the other handwritten *** diffractive camera design can be scaled to different parts of the electromagnetic spectrum,including,e.g.,the visible and infrared wavelengths,to provide transformative opportunities for privacy-preserving digital cameras and task-specific data-efficient imaging.

关键词： optical image specific

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Prognostic impact of persistent atrial fibrillation in patients with heart failure

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中国循环杂志 2016年第Z1期31卷 -页

作者： Nini Liu tianyi gan Yuhui Zhang Tuo Liang Xuemei Zhao Jian Zhang Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical Colege Beijing China

Objective The prognostic impact of Persistent atrial fibrillation (AF) in Patients With Heart Failure is not fully elucidated[第一段]

关键词：心房颤动心力衰竭胰岛素

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基于介质超表面的片上集成纳米光子器件

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光学学报 2021年第8期41卷 3-15页

作者：廖琨甘天奕胡小永龚旗煌北京大学物理学院人工微结构和介观物理国家重点实验室北京100871

超表面可被设计应用于波前的空间变换,二维周期性光学超表面结构的研究主要集中于调控光在自由空间中传播的波前。为了操控片上光信号传输的自由度,实现小尺寸、宽带以及低损耗的片上集成光子计算芯片,发展了一系列一维片上超表面的设... 详细信息

超表面可被设计应用于波前的空间变换,二维周期性光学超表面结构的研究主要集中于调控光在自由空间中传播的波前。为了操控片上光信号传输的自由度,实现小尺寸、宽带以及低损耗的片上集成光子计算芯片,发展了一系列一维片上超表面的设计工作。对近几年来基于介质超表面的片上集成纳米光子器件的相关工作进行综述,从片上超表面的物理机制、片上超表面的实现方法以及片上超表面在集成纳米光子器件中的应用几方面出发进行了回顾和讨论。同时也对潜在的挑战进行了总结,对片上超表面在集成纳米光子器件中的进一步应用研究进行了展望。

关键词：光学器件一维超表面相位调控纳米光子器件

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Plasma neutrophil gelatinase-associated lipocalin (NGAL) predicts renal function in hospitalized patients with heart failure

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中国循环杂志 2016年第Z1期31卷 -页

作者： Xuemei Zhao tianyi gan Tuo Liang Nini Liu Junxia Cheng Yiran Hu Heart Failure Center Fuwai Hospital State Key Laboratory of Cardiovascular Disease National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical Colege Beijing China

Objective Heart failure (HF) and renal dysfunction often coexist and mutual influence each *** study aimed to evaluate the prognostic value of baseline plasma neutrophil gelatinase-associated the lipocalin (NGAL ) for... 详细信息

关键词：癌基因蛋白质类急相蛋白质类明胶酶类心力衰竭

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Efficacy and safety of LY01005 versus goserelin implant in Chinese patients with prostate cancer: A multicenter, randomized, open-label, phase III, non-inferiority trial

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Chinese Medical Journal 2023年第10期136卷 1207-1215页

作者： Chengyuan Gu Zengjun Wang Tianxin Lin Zhiyu Liu Weiqing Han Xuhui Zhang Chao Liang Hao Liu Yang Yu Zhenzhou Xu Shuang Liu Jingen Wang Linghua Jia Xin Yao Wenfeng Liao Cheng Fu Zhaohui Tan Guohua He Guoxi Zhu Rui Fan Wenzeng Yang Xin Chen Zhizhong Liu Liqiang Zhong Benkang Shi Degang Ding Shubo Chen Junli Wei Xudong Yao Ming Chen Zhanpeng Lu Qun Xie Zhiquan Hu Yinhuai Wang Hongqian Guo Tiwu Fan Zhaozhao Liang Peng Chen Wei Wang Tao Xu Chunsheng Li Jinchun Xing Hong Liao Dalin He Zhibin Wu Jiandi Yu Zhongwen Feng Mengxiang Yang Qifeng Dou Quan Zeng Yuanwei Li Xin Gou Guangchen Zhou Xiaofeng Wang Rujian Zhu Zhonghua Zhang Bo Zhang Wanlong Tan Xueling Qu Hongliang Sun tianyi gan Dingwei Ye Department of Urology Fudan University Shanghai Cancer CenterShanghai 200032China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 200032China Department of Urology The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu 210029China Department of Urology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhouGuangdong 510120China Department of Urology The Second Affiliated Hospital of Dalian Medical UniversityDalianLiaoning 116023China Department of Urology The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityHunan Cancer CenterChangshaHunan 410013China Department of Urology First Hospital of Shanxi Medical UniversityTaiyuanShanxi 030000China Department of Urology Jiangxi Provincial People’s HospitalSchool of MedicineNanchang UniversityNanchangJiangxi 330006China Department of Urology Tianjin Medical University Cancer Institute and HospitalTianjin 300060China Department of Urology Cancer Hospital of China Medical UniversityLiaoning Cancer Hospital and InstituteShenyangLiaoning 110043China Department of Urology Inner Mongolia People’s HospitalHohhotInner Mongolia 010010China Department of Urinary Surgery Taizhou Hospital of Traditional Chinese MedicineTaizhouJiangsu 225300China Department of Urology Linfen People’s HospitalLinfenShanxi 041000China Department of Urology Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouHenan 450006China Department of Urology The Affiliated Hospital of Hebei UniversityBaodingHebei 071000China Department of Urology Chifeng Municipal HospitalChifeng Clinical Medical College of Inner Mongolia Medical UniversityChifengInner Mongolia 024000China Department of Urology Baogang HospitalBaotouInner Mongolia 014010China Department of Oncology The Second People’s Hospital of YibinYibinSichuan 644000China Department of Urology Qilu Hospital of Shandong UniversityJinanShandong 250014China Department of Urology Henan Provincial People’s Hos

Background:LY01005(Goserelin acetate sustained-release microsphere injection)is a modified gonadotropin-releasing hormone(GnRH)agonist injected *** phase III trial study aimed to evaluated the efficacy and safety of LY01005 in Chinese patients with prostate ***:We conducted a randomized controlled,open-label,non-inferiority trial across 49 sites in *** study included 290 patients with prostate cancer who received either LY01005 or goserelin implants every 28 days for three *** primary efficacy endpoints were the percentage of patients with testosterone suppression≤50 ng/dL at day 29 and the cumulative probability of testosterone≤50 ng/dL from day 29 to ***-inferiority was prespecified at a margin of-10%.Secondary endpoints included significant castration(≤20 ng/dL),testosterone surge within 72 h following repeated dosing,and changes in luteinizing hormone,follicle-stimulating hormone,and prostate specific antigen ***:On day 29,in the LY01005 and goserelin implant groups,testosterone concentrations fell below medical-castration levels in 99.3%(142/143)and 100%(140/140)of patients,respectively,with a difference of-0.7%(95%confidence interval[CI],-3.9%to 2.0%)between the two *** cumulative probabilities of maintaining castration from days 29 to 85 were 99.3%and 97.8%,respectively,with a between-group difference of 1.5%(95%CI,-1.3%to 4.4%).Both results met the criterion for *** endpoints were similar between *** treatments were ***01005 was associated with fewer injection-site reactions than the goserelin implant(0%vs.1.4%[2/145]).Conclusion:LY01005 is as effective as goserelin implants in reducing testosterone to castration levels,with a similar safety *** registration:***,NCT04563936.

关键词： Prostatic neoplasms LY01005 Gonadotropin-releasing hormone agonist Efficacy Safety

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高速公路风光储能系统源荷匹配及容量配置优化

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华南师范大学学报（自然科学版） 2024年第2期56卷 32-41页

作者：付豪崔培强唐茜甘爽万天意张泽武邬凡张立麒华中科技大学能源与动力工程学院/煤燃烧与低碳利用全国重点实验室武汉430074 葛洲坝集团交通投资有限公司武汉430030

建立EV充电负荷预测模型,采用蒙特卡洛模拟法预测EV充电负荷时间分布特性,提出考虑充电桩参数和充换电模式的源荷匹配优化策略,建立风光储能系统综合评价体系,通过改进遗传算法进行规划求解,得到最优容量配置。以山东省某服务区为例进... 详细信息

建立EV充电负荷预测模型,采用蒙特卡洛模拟法预测EV充电负荷时间分布特性,提出考虑充电桩参数和充换电模式的源荷匹配优化策略,建立风光储能系统综合评价体系,通过改进遗传算法进行规划求解,得到最优容量配置。以山东省某服务区为例进行实证研究。结果表明:EV充电负荷预测曲线呈现日间“双峰”形态,为使负荷用能曲线向光伏发电曲线贴近,合理设置服务区充电桩数量和最大充电功率,并选择换电参与的充换电模式,改进遗传算法得到的最优化配置方案贴近度相对于初始规划方案有所提升,可实现储能系统的充能和余电的上网。

关键词：风光储能蒙特卡洛方法遗传算法源荷匹配容量配置

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