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Pluggable multitask diffractive neural networks based on cascaded metasurfaces

Opto-Electronic Advances 2024年第2期7卷 23-31页

作者： Cong He Dan Zhao Fei Fan Hongqiang Zhou Xin Li Yao Li Junjie Li Fei Dong Yin-Xiao Miao Yongtian Wang Lingling Huang Beijing Engineering Research Center of Mixed Reality and Advanced Display Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of ChinaSchool of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China Institute of Modern Optics Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network TechnologyNankai UniversityTianjin 300350China department of Physics and Optoelectronics Faculty of ScienceBeijing University of TechnologyBeijing 100124China Beijing National laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100191China Beijing Aerospace Institute for Metrology and Measurement Technology Beijing 100076China

Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering *** has been considered as one of the powerful tools in promoting the fields of imaging processing and object ***,the existing optical system architecture cannot be reconstructed to the realization of multi-functional artificial intelligence systems *** push the development of this issue,we propose the pluggable diffractive neural networks(P-DNN),a general paradigm resorting to the cascaded metasurfaces,which can be applied to recognize various tasks by switching internal *** the proof-of-principle,the recognition functions of six types of handwritten digits and six types of fashions are numerical simulated and experimental demonstrated at near-infrared ***,the proposed paradigm not only improves the flexibility of the optical neural networks but paves the new route for achieving high-speed,low-power and versatile artificial intelligence systems.

关键词： optical neural networks diffractive deep neural networks cascaded metasurfaces

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Dual neovascular targets of vascular endothelial growth factor receptors and platelet-derived growth factor receptor ameliorate thioacetamide induced liver fibrosis in rats

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Portal Hypertension & Cirrhosis 2024年第1期3卷 1-13页

作者： Bin Xiong Yaowei Bai Jiacheng Liu Tongqiang Li Yingliang Wang Chen Zhou department of Interventional radiology The First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdongChina department of radiology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina Hubei Province key laboratory of Molecular imaging WuhanHubeiChina

Aims:Neovascularization plays a crucial role in liver fibrosis(LF),and blocking vascular endothelial growth factor receptors(VEGFR)has been shown to improve *** aim of our study was to investigate the role of dual neovascularization targets,VEGFR,and platelet-derived growth factor receptor(PDGFR),in ameliorating ***:In vitro,we observed the effects of apatinib(APA)(a VEGFR inhibitor)and donafenib(DON)(a VEGFR and PDGFR inhibitor)on the activation,proliferation,and apoptosis of hepatic stellate cells(HSCs)from rats and *** vivo,we established a thioacetamide(TAA)-induced liver fibrosis rat model to explore the antifibrosis effect of APA and *** used the method of random table to randomly divide the rats into 4 *** detected the expression of angiogenesis-related proteins using Western blot and ***:APA and DON inhibited the proliferation and activation of HSCs,promoted apoptosis of HSCs,and arrested the S phase of the cell cycle in *** also found that DON had a stronger inhibitory effect on *** vivo,APA and DON ameliorated liver fibrosis,reduced collagen deposition andα-SMA expression in rats,and DON had a stronger improvement *** and DON downregulated the expression of VEGFR2 while inhibiting the phosphorylation of Akt and ERK1/*** can act through both VEGF and PDGF pathways,whereas APA can only act through the VEGF ***:Antiangiogenesis is a promising approach for the treatment of *** with a single-target drug(APA),the dual-target drug(DON)can achieve better therapeutic effects.

关键词： antiangiogenesis apatinib donafenib fibrosis

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Electric tuning of plasmonic resonances in ultrathin gold nanoribbon arrays

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Photonics Research 2024年第08期12卷 1750-1759页

作者： ZHENXIN WANG ALEXEY V.KRASAVIN CHENXINYU PAN JUNSHENG ZHENG ZHIYONG LI XIN GUO ANATOLY V.ZAYATS LIMIN TONG PAN WANG State key laboratory of Extreme Photonics and Instrumentation College of Optical Science and Engineering Zhejiang University department of Physics and London Centre for Nanotechnology King's College London Jiaxing key laboratory of Photonic Sensing & Intelligent imaging Intelligent Optics & Photonics Research Center Jiaxing Research Institute Zhejiang University

Ultrathin plasmonic nanostructures offer an unparalleled opportunity for the study of light–matter interactions at the nanoscale and realization of compact nanophotonic devices. In this study, we introduce an ultrathin gold nanoribbon array and demonstrate an electric approach to actively tuning its plasmonic resonance, which leveraging the extreme light confinement capability in the ultrathin plasmonic nanostructure and a robust nanoscale electro-optical effect in indium tin oxide. Optimizing the design(to a total thickness as small as 12 nm for a 2-nmthick gold nanoribbon array), we numerically demonstrate a spectral shift in the plasmonic resonance up to 36 nm along with an approximately 16% change in the transmission at a gate voltage below 1.7 V at the wavelength of1.47 μm. This work presents progress towards electric tuning of plasmonic resonances in ultrathin metallic nanostructures for various applications including surface-enhanced spectroscopy, spontaneous emission enhancement,and optical modulation.

关键词： Chemical sensors Diffraction limit Electrooptical effects Indium tin oxide Light matter interactions Nanostructures

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A transferrin receptor targeting dual-modal MR/NIR fluorescent imaging probe for glioblastoma diagnosis

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Regenerative Biomaterials 2024年第3期3卷 122-133页

作者： Jiaqi Hao Huawei Cai Lei Gu Yiqi Ma Yan Li Beibei Liu Hongyan Zhu Fanxin Zeng Min Wu department of radiology and Huaxi MR Research Center(HMRRC) Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China HospitalSichuan UniversityChengduSichuan 610041China Research Unit of Psychoradiology Chinese Academy of Medical SciencesChengduSichuan 610041China department of Nuclear Medicine&laboratory of Clinical Nuclear Medicine West China HospitalSichuan UniversityChengduSichuan 610041China State key laboratory of Biotherapy West China HospitalSichuan UniversityChengduSichuan 610041China department of Clinical Research Center Dazhou Central HospitalDazhouSichuan 635000China

The prognosis of glioblastoma(GBM)remains challenging,primarily due to the lack of a precise,effective imaging technique for comprehensively *** GBM diagnostic challenges,our study introduces an innovative dual-modal imaging that merges near-infrared(NIR)fluorescent imaging with magnetic resonance imaging(MR).This method employs superparamagnetic iron oxide nanoparticies coated with NIR fluorescent dyes,specifically Cyanine 7,and targeted *** synthetic probe facilitates MRI functionality through superparamagnetic iron oxide nanoparticles,provides NIR imaging capability via Cyanine 7 and enhances tumor targeting trough peptide interactions,offering a comprehensive diagnostic tool for ***,the probe traverses the blood-brain barrier,targeting GBM in vivo via peptides,producing clear and discermible images in both *** and histopathology assessments confirm the probe's favorable safet *** findings suggest that the dual-modal MRINIR fluorescent imaging probe could revolutionize GBM prognosis and survival rate which can also be extended to other tumors type.

关键词： glioblastoma magnetic resonance imaging dual-modal probes near-infrared fluorescent targeting peptides

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Engagement of N^(6)-methyladenisine methylation of Gng4 mRNA in astrocyte dysfunction regulated by CircHECW2

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1644-1660页

作者： Ying Bai Di Chang Hui Ren Minzi Ju Yu Wang Biling Chen Han Li Xue Liu Daxing Li Xinchen Huo Xiaofei Guo Mengze Tong Ying Tan Honghong Yao Bing Han department of Pharmacology Jiangsu Provincial Key Laboratory of Critical Care MedicineSchool of MedicineSoutheast UniversityNanjing 210009China department of radiology Zhongda HospitalJiangsu Key Laboratory of Molecular and Functional ImagingMedical School of Southeast UniversityNanjing 210009China Co-Innovation Center of Neuroregeneration Nantong UniversityNantong 226001China Institute of Life Sciences Key Laboratory of Developmental Genes and Human DiseaseSoutheast UniversityNanjing 210096China Center for Global Health School of Public HealthNanjing Medical UniversityNanjing 211166China

The N^(6)-methyladenosine(m^(6)A)modification is the most prevalent modification of eukaryotic mRNAs and plays a crucial role in various physiological processes by regulating the stability or function of target *** evidence has suggested that m6A methylation may be involved in the pathological process of major depressive disorder(MDD),a common neuropsychiatric disorder with an unclear ***,we found that the levels of the circular RNA HECW2(circHECW2)were significantly increased in the plasma of both MDD patients and the chronic unpredictable stress(CUS)mouse ***,the downregulation of circHECW2 attenuated astrocyte dysfunction and depression-like behaviors induced by ***,we demonstrated that the downregulation of circHECW2 increased the expression of the methylase WTAP,leading to an increase in Gng4 expression via m^(6)A *** findings provide functional insight into the correlation between circHECW2 and m^(6)A methylation,suggesting that circHECW2 may represent a potential target for MDD treatment.

关键词： N^(6)-Methyladenosine Depression circHECW2 Astrocyte WTAP Ubiquitination GNG4 Dysfunction

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Physics-informed deep learning for fringe pattern analysis

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Opto-Electronic Advances 2024年第1期7卷 4-15页

作者： Wei Yin Yuxuan Che Xinsheng Li Mingyu Li Yan Hu Shijie Feng Edmund Y.Lam Qian Chen Chao Zuo Smart Computational imaging laboratory(SCILab) School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing 210094China Smart Computational imaging Research Institute(SCIRI)of Nanjing University of Science and Technology Nanjing 210019China Jiangsu key laboratory of Spectral imaging&Intelligent Sense Nanjing 210094China department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong SAR 999077China

Recently,deep learning has yielded transformative success across optics and photonics,especially in optical *** neural networks (DNNs) with a fully convolutional architecture (e.g.,U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks,such as fringe denoising,phase unwrapping,and fringe ***,the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive,as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning *** this end,we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (Le FTP) *** parameterizing conventional phase retrieval methods,the Le FTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples,while circumventing the requirement of collecting a large amount of high-quality data in supervised learning *** by the initial phase from Le FTP,the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end *** results demonstrate that PI-FPA enables more accurate and computationally efficient single-shot phase retrieval,exhibiting its excellent generalization to various unseen objects during *** proposed PI-FPA presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches,opening new avenues to achieve fast and accurate single-shot 3D imaging.

关键词： optical metrology deep learning physics-informed neural networks fringe analysis phase retrieval

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Stimulated emission-depletion-based point-scanning structured illumination microscopy

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Chinese Optics Letters 2024年第3期22卷 95-100页

作者：汪磊王美婷王璐玮郑晓敏陈嘉杰吴文帅严伟于斌屈军乐高志邵永红 Guangdong key laboratory for Biomedical Measurements and Ultrasound imaging National-Regional Key Technology Engineering Laboratory for Medical UltrasoundSchool of Biomedical EngineeringShenzhen University Medical SchoolShenzhen 518060China key laboratory of Opto-electronic Information Science and Technology of Jiangxi Province Nanchang Hangkong UniversityNanchang 330063China College of Physics and Optoelectronics Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceShenzhen UniversityShenzhen 518060China department of Bioengineering and COMSET Clemson UniversityClemson SC 29634US

Wide-field linear structured illumination microscopy(LSIM)extends resolution beyond the diffraction limit by moving unresolvable high-frequency information into the passband of the microscopy in the form of moiré***,due to the diffraction limit,the spatial frequency of the structured illumination pattern cannot be larger than the microscopy cutoff frequency,which results in a twofold resolution improvement over wide-field *** Letter presents a novel approach in point-scanning LSIM,aimed at achieving higher-resolution improvement by combining stimulated emission depletion(STED)with point-scanning structured illumination microscopy(ps SIM)(STED-ps SIM).The according structured illumination pattern whose frequency exceeds the microscopy cutoff frequency is produced by scanning the focus of the sinusoidally modulated excitation beam of STED *** experimental results showed a 1.58-fold resolution improvement over conventional STED microscopy with the same depletion laser power.

关键词： stimulated emission depletion structured illumination microscopy superresolution microscopy

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Value of multiple models of diffusion-weighted imaging to predict hepatic lymph node metastases in colorectal liver metastases patients

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World Journal of Gastroenterology 2024年第4期30卷 308-317页

作者： Hai-Bin Zhu Bo Zhao Xiao-Ting Li Xiao-Yan Zhang Qian Yao Ying-Shi Sun key laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Department of RadiologyPeking University Cancer Hospital and InstituteBeijing 100142China key laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Department of PathologyPeking University Cancer Hospital and InstituteBeijing 100142China

BACKGROUND About 10%-31% of colorectal liver metastases(CRLM)patients would concomitantly show hepatic lymph node metastases(LNM),which was considered as sign of poor biological behavior and a relative contraindication for liver *** to now,there’s still lack of reliable preoperative methods to assess the status of hepatic lymph nodes in patients with CRLM,except for pathology examination of lymph node after *** To compare the ability of mono-exponential,bi-exponential,and stretchedexponential diffusion-weighted imaging(DWI)models in distinguishing between benign and malignant hepatic lymph nodes in patients with CRLM who received neoadjuvant chemotherapy prior to *** In this retrospective study,97 CRLM patients with pathologically confirmed hepatic lymph node status underwent magnetic resonance imaging,including DWI with ten b values before and after *** parameters,such as the apparent diffusion coefficient from the mono-exponential model,and the true diffusion coefficient,the pseudo-diffusion coefficient,and the perfusion fraction derived from the intravoxel incoherent motion model,along with distributed diffusion coefficient(DDC)andαfrom the stretched-exponential model(SEM),were *** parameters before and after chemotherapy were compared between positive and negative hepatic lymph node groups.A nomogram was constructed to predict the hepatic lymph node *** reliability and agreement of the measurements were assessed using the coefficient of variation and intraclass correlation *** Multivariate analysis revealed that the pre-treatment DDC value and the short diameter of the largest lymph node after treatment were independent predictors of metastatic hepatic lymph nodes.A nomogram combining these two factors demonstrated excellent performance in distinguishing between benign and malignant lymph nodes in CRLM patients,with an area under the curve of ***,parameters from SEM sho

关键词： Colorectal cancer Individualized treatment Diffusion magnetic resonance imaging Intravoxel incoherent motion Liver

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NIR-triggered on-site NO/ROS/RNS nanoreactor:Cascade-amplified photodynamic/photothermal therapy with local and systemic immune responses activation

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Opto-Electronic Advances 2024年第6期7卷 58-73页

作者： Ziqing Xu Yakun Kang Jie Zhang Jiajia Tang Hanyao Sun Yang Li Doudou He Xuan Sha Yuxia Tang Ziyi Fu Feiyun Wu Shouju Wang laboratory of Molecular imaging Department of RadiologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China department of Breast Surgery The First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China department of Women&Children Research Center The First Affiliated HospitalNanjing Medical UniversityNanjing 210029China

Photothermal and photodynamic therapies(PTT/PDT)hold promise for localized tumor treatment,yet their full potential is hampered by limitations such as the hypoxic tumor microenvironment and inadequate systemic immune *** these challenges,we present a novel near-infrared(NIR)-triggered RNS nanoreactor(PBNO-Ce6)to amplify the photodynamic and photothermal therapy efficacy against triple-negative breast cancer(TNBC).The designed PBNOCe6 combines sodium nitroprusside-doped Prussian Blue nanoparticles with Chlorin e6 to enable on-site RNS production through NIR-induced concurrent NO release and ROS *** not only enhances tumor cell eradication but also potentiates local and systemic antitumor immune responses,protecting mice from tumor *** in vivo evaluations revealed that treatment with PBNO-Ce6 leads to a remarkable 2.7-fold increase in cytotoxic T lymphocytes and a 62%decrease in regulatory T cells in comparison to the control PB-Ce6(Prussian Blue nanoparticles loaded with Chlorin e6),marking a substantial improvement over traditional PTT/*** such,the PBNO-Ce6 nanoreactor represents a transformative approach for improving outcomes in TNBC and potentially other malignancies affected by similar barriers.

关键词： photothermal therapy photodynamic therapy nitric oxide reactive nitrogen species triple-negative breast cancer immune response nanoreactor

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Polaron interfacial entropy as a route to high thermoelectric performance in DAE-doped PEDOT:PSS films

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National Science Review 2024年第3期11卷 259-270页

作者： Jiajia Zhang Caichao Ye Genwang Wei Liang Guo Yuhang Cai Zhi Li Xinzhi Wu Fangyi Sun Qikai Li Yupeng Wang Huan Li Yuchen Li Shuaihua Wang Wei Xu Xuefeng Guo Wenqing Zhang Weishu Liu department of Materials Science and Engineering Southern University of Science and Technology Academy for Advanced Interdisciplinary Studies and Guangdong Provincial key laboratory of Computational Science and Material Design Southern University of Science and Technology department of Mechanical and Energy Engineering Southern University of Science and Technology Beijing National laboratory for Molecular Sciences Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences College of Chemistry and Molecular Engineering National Biomedical Imaging Centre Peking University Guangdong Provincial key laboratory of Functional Oxide Materials and Devices Southern University of Science and Technology

Enhancing the thermoelectric transport properties of conductive polymer materials has been a long-term challenge, in spite of the success seen with molecular doping strategies. However, the strong coupling between the thermopower and the electrical conductivity limits thermoelectric performance. Here, we use polaron interfacial occupied entropy engineering to break through this intercoupling for a PEDOT:PSS(poly（3,4-ethylenedioxythiophene）-poly（4-styrenesulfonate）) thin film by using photochromic diarylethene（DAE） dopants coupled with UV-light modulation. With a 10-fold enhancement of the thermopower from 13.5 μV K-1to 135.4 μV K-1and almost unchanged electrical conductivity, the DAE-doped PEDOT:PSS thin film achieved an extremely high power factor of 521.28 μW m-1K-2from an original value of 6.78 μW m-1K-2. The thermopower was positively correlated with the UV-light intensity but decreased with increasing temperature, indicating resonant coupling between the planar closed DAE molecule and PEDOT. Both the experiments and theoretical calculations consistently confirmed the formation of an interface state due to this resonant coupling. Interfacial entropy engineering of polarons could play a critical role in enhancing the thermoelectric performance of the organic film.

关键词： thermoelectric PEDOT: PSS interfacial occupied entropy resonant coupling UV-light modulation

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