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Picotesla fiberized diamond-based AC magnetometer

Photonics Research 2024年第6期12卷 1250-1261页

作者： SHAO-CHUN ZHANG YONG LIU LONG-KUN SHAN XUE-dong GAO JIA-QI GENG CUI YU YANG dong xiang-dong chen GUANG-CAN GUO FANG-WEN SUN CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China National Key Laboratory of ASIC Hebei Semiconductor Research InstituteShijiazhuang 050051China Electric Power Quantum Sensing Joint Laboratory of Anhui Province State Grid Anhui Electric Power Research InstituteHefei 230601China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China

Portable quantum sensors are crucial for developing practical quantum sensing and metrology *** nitrogen-vacancy(NV)centers in diamonds have emerged as one of the most promising candidates for compact quantum ***,due to the difficulty of coherently controlling the ensemble spin and noise suppression in a large volume,it often faces problems such as reduced sensitivity and narrowed bandwidth in integrated lensless ***,we propose a fluorescence signal treatment method for NV spin ensemble manipulation by the exponential fitting of spin polarization processes,instead of integrating the photon *** enables spin state readout with a high signal-to-noise ratio and applies to the pulse sensing protocols for large-volume NV *** on this,we further developed a fiberized diamond-based AC *** an XY8-N dynamical decoupling pulse sequence,we demonstrated a T_(2)-limited sensitivity of 8pT/√Hz and T_(1)-limited frequency resolution of 90 Hz over a wide frequency band from 100 kHz to 3 *** integrated diamond sensor leverages quantum coherence to achieve enhanced sensitivity in detecting AC magnetic fields,making it suitable for implementation in a compact and portable endoscopic sensor.

关键词： magnetometer quantum ensemble

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SSL Depth: self-supervised learning enables 16× speedup in confocal microscopy-based 3D surface imaging [Invited]

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Chinese Optics Letters 2024年第6期22卷 3-7页

作者： Ze-Hao Wang Tong-Tian Weng xiang-dong chen Li Zhao Fang-Wen Sun CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China Anhui Golden-Shield 3D Technology Co. Ltd.Hefei 230011China

In scientific and industrial research, three-dimensional (3D) imaging, or depth measurement, is a critical tool that provides detailed insight into surface properties. Confocal microscopy, known for its precision in surface measurements, plays a key role in this field. However, 3D imaging based on confocal microscopy is often challenged by significant data requirements and slow measurement speeds. In this paper, we present a novel self-supervised learning algorithm called SSL Depth that overcomes these challenges. Specifically, our method exploits the feature learning capabilities of neural networks while avoiding the need for labeled data sets typically associated with supervised learning approaches. Through practical demonstrations on a commercially available confocal microscope, we find that our method not only maintains higher quality, but also significantly reduces the frequency of the z-axis sampling required for 3D imaging. This reduction results in a remarkable 16×measurement speed, with the potential for further acceleration in the future. Our methodological advance enables highly efficient and accurate 3D surface reconstructions, thereby expanding the potential applications of confocal microscopy in various scientific and industrial fields.

关键词： confocal microscopy 3D surface imaging self-supervised learning

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Learning the imaging mechanism directly from optical microscopy observations

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Photonics Research 2024年第1期12卷 7-26页

作者： ZE-HAO WANG LONG-KUN SHAN TONG-TIAN WENG TIAN-LONG chen xiang-dong chen ZHANG-YANG WANG GUANG-CAN GUO FANG-WEN SUN CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China University of Texas at Austin AustinTexas 78705USA Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China

The optical microscopy image plays an important role in scientific research through the direct visualization of the nanoworld,where the imaging mechanism is described as the convolution of the point spread function(PSF)and *** on a priori knowledge of the PSF or equivalent PSF,it is possible to achieve more precise exploration of the ***,it is an outstanding challenge to directly extract the PSF from microscopy ***,with the help of self-supervised learning,we propose a physics-informed masked autoencoder(PiMAE)that enables a learnable estimation of the PSF and emitters directly from the raw microscopy *** demonstrate our method in synthetic data and real-world experiments with significant accuracy and noise *** outperforms DeepSTORM and the Richardson–Lucy algorithm in synthetic data tasks with an average improvement of 19.6%and 50.7%(35 tasks),respectively,as measured by the normalized root mean square error(NRMSE)*** is achieved without prior knowledge of the PSF,in contrast to the supervised approach used by DeepSTORM and the known PSF assumption in the Richardson–Lucy *** method,PiMAE,provides a feasible scheme for achieving the hidden imaging mechanism in optical microscopy and has the potential to learn hidden mechanisms in many more systems.

关键词： optical emitter mechanism

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L^p Boundedness for Parabolic Littlewood-Paley Operators with Rough Kernels Belonging to Block Spaces

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Acta Mathematica Sinica,English Series 2010年第2期26卷 277-286页

作者： dong xiang chen Shan Zhen LU School of Mathematics Beijing Normal University Beijing 100875 P. R. China and Department of Mathematics Jiangxi Normal University Nanchang 330022 P. R. China School of Mathematics Beijing Normal University Beijing 100875 P. R. China

This paper is primarily concerned with the proof of the Lp boundedness of parabolic Littlewood-Paley operators with kernels belonging to certain block spaces. Some known results are essentially extended and improved.

关键词： parabolic Littlewood-Paley operator Fourier transform rough kernel block space

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Intelligent risk identification of gas drilling based on nonlinear classification network

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Petroleum Science 2023年第5期20卷 3074-3084页

作者： Wen-He Xia Zong-Xu Zhao cheng-Xiao Li Gao Li Yong-Jie Li Xing Ding xiang-dong chen School of Electrical Engineering and Information Southwest Petroleum UniversityChengdu 610500SichuanChina CCDC Drilling&Production Engineering Technology Research Institute Deyang 618500SichuanChina School of Oil&Natural Gas Engineering Southwest Petroleum UniversityChengdu 610500SichuanChina School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031SichuanChina

During the transient process of gas drilling conditions,the monitoring data often has obvious nonlinear fluctuation features,which leads to large classification errors and time delays in the commonly used intelligent classification *** with the structural features of data samples obtained from monitoring while drilling,this paper uses convolution algorithm to extract the correlation features of multiple monitoring while drilling parameters changing with time,and applies RBF network with nonlinear classification ability to classify the *** the training process,the loss function component based on distance mean square error is used to effectively adjust the best clustering center in *** field applications show that,the recognition accuracy of the above nonlinear classification network model for gas production,water production and drill sticking is 97.32%,95.25%and 93.78%.Compared with the traditional convolutional neural network(CNN)model,the network structure not only improves the classification accuracy of conditions in the transition stage of conditions,but also greatly advances the time points of risk identification,especially for the three common risk identification points of gas production,water production and drill sticking,which are advanced by 56,16 and 8 *** has won valuable time for the site to take correct risk disposal measures in time,and fully demonstrated the applicability of nonlinear classification neural network in oil and gas field exploration and development.

关键词： Gas drilling Intelligent identification of drilling risk Nonlinear classification RBF Neural Network K-means algorithm

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Assessing performance of augmented reality-based neurosurgical training

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Visual Computing for Industry,Biomedicine,and Art 2019年第1期2卷 45-54页

作者： Wei-Xin Si xiang-Yun Liao Yin-Ling Qian Hai-Tao Sun xiang-dong chen Qiong Wang Pheng Ann Heng Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences1068 Xueyuan AvenueShenzhen University TownShenzhen 518055China Department of Neurosurgery Zhujiang HospitalSouthern Medical UniversityGuangzhou 510282China E.N.T.department of Shenzhen University General Hospital Shenzhen 518055China Department of Computer Science and Engineering the Chinese University of Hong KongHong KongChina

This paper presents a novel augmented reality(AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical *** simulation with bimanual haptic interaction is integrated in this work to provide a simulated environment for users to achieve holographic guidance for pre-operative *** achieve the AR guidance,the simulator should precisely overlay the 3D anatomical information of the hidden target organs in the patients in real *** this regard,the patient-specific anatomy structures are reconstructed from segmented brain magnetic resonance *** propose a registration method for precise mapping of the virtual and real *** addition,the simulator provides bimanual haptic interaction in a holographic environment to mimic real brain tumor *** this study,we conduct AR-based guidance validation and a user study on the developed simulator,which demonstrate the high accuracy of our AR-based neurosurgery simulator,as well as the AR guidance mode’s potential to improve neurosurgery by simplifying the operation,reducing the difficulty of the operation,shortening the operation time,and increasing the precision of the operation.

关键词： Augmented reality Personalized virtual operative anatomy Neurosurgical training

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Effect of different bottom blowing elements on stirring characteristics of molten bath in converter

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Journal of Iron and Steel Research International 2024年第2期31卷 368-376页

作者： Ming Lv Shuang-ping chen Hong-min Guo Yi-jie Hao xiang-dong Xing School of Metallurgical Engineering Xi’an University of Architecture and TechnologyXi’an710055ShaanxiChina Shaanxi Longmen Steel Company Hancheng715405ShaanxiChina

The bottom blowing element is the key equipment to ensure the bottom blowing effect of the *** types of bottom blowing elements,dispersive type(D1),double circular seam(D2)and straight cylinder type(D3),were built,and the effects of bottom blowing element type on molten bath flow,wall erosion and furnace bottom erosion were *** was found that when the bottom blowing elements of dispersive type(D1)and double circular seam(D2)were used,the dead zone area in the lower part of the molten bath was smaller,and the high-speed zone area was larger;therefore,the stirring effect on the bottom melt was *** the straight cylinder type(D3)bottom blowing element was used,the gas penetrated the molten bath at a faster rate to reach the surface of molten bath and failed to disperse in the bottom molten bath,and the wall shear stress near the nozzle outlet was *** argon was blown by three different bottom blowing elements,the area of the wall shear stress greater than 3 Pa was 4.8,5.6 and 8.7 cm2,respectively,within 0.2 m of the bottom blowing nozzle outlet.

关键词： Converter steelmaking Bottom blowing element Molten bath stirring Wall erosion

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Flower development and sexual dimorphism in Vernicia montana

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Horticultural Plant Journal 2024年第2期10卷 586-600页

作者： Wenying Li Jingzhen chen xiang dong Meilan Liu Guibin Wang Lin Zhang Key Laboratory of Cultivation and Protection for Non-wood Forest Trees Ministry of EducationCentral South University of Forestry and TechnologyChangshaHunan 410004China State Key Laboratory of Utilization of Woody Oil Resource Hunan Academy of ForestryChangshaHunan 410004China College of Forestry Nanjing Forestry UniversityNanjingJiangsu 210037China

The mu oil tree(Vernicia montana Lour.) is a dioecious species, but the genetic mechanisms underlying its phenotypic sexual dimorphism are unclear. In this study, we determined two pivotal phases of sex differentiation of mu oil tree via morphological and histological analyses of unisexual flowers:(Ⅰ) differentiation of male or female primordia to produce staminate flowers(SFs) or transient hermaphrodite flowers(HFs),and(Ⅱ) complete abortion of stamens in transient HFs to generate pistillate flowers(PFs). A total of 1621 sex-biased genes were identified by comparative transcriptome analysis which exhibited elevated rates of protein evolution than unbiased genes. The female-biased genes were enriched in the production of defense compounds while male-biased genes were focused on the production of viable pollens. Transcriptomebased analysis revealed that the differentially expressed genes(DEGs) between PFs and SFs in phase Ⅰ involved in abscisic acid(ABA), auxin(AUX), cytokinin(CK), ethylene(ET), and gibberellin(GA) biosynthesis and signaling showed higher expression levels in males than in females in general, whereas the DEGs involved in jasmonic acid(JA) and salicylic acid(SA) pathways displayed opposite expression patterns. Moreover,differentially expressed endogenous ABA, AUX, GAs, JA, and SA exhibited consistent biased expression patterns with the DEGs by UPLC-MSbased analysis. Exogenous application of an anti-ethylene plant growth regulator could promote the development of stamens in PFs and generated HFs. Comparative transcriptomic and hormonal analyses of PFs and SFs in phase Ⅱ indicated an increase in ET concentration when abortion of stamens in PFs occurred. This study suggested that phytohormones play key roles in sex dimorphism and ET may determine the development of stamens in PFs of mu oil tree, which provides an insight into plant sex differentiation mechanisms.

关键词： Mu oil tree Flower development Sexual dimorphism Sex bias Ethylene

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Preparation of Tolterodine Metabolite Loaded Biodegradable PLGA Microspheres

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Chemical Research in Chinese Universities 2010年第1期26卷 75-80页

作者： TENG Le-sheng JIANG Chao-jun LIN xiang-you dong Yuan-chen LI Chun-mei MENG Qing-fan LI You-xin College of Life Science Jilin University Changehun 130012 P. R. China

Biodegradable polymer poly（lactic-co-glycolic acid）（PLGA） was used to encapsulate the pharmacological activity metabolite of tolterodine by means of O/W emulsion solvent evaporation method via homogenization in the emulsification process. The influences of preparation parameters were investigated. The results indicate that increa- sing PLGA concentration from 15% to 40% made the encapsulation efficiency of 5-hydroxymethyl derivative of tol- terodine（5-HMT） increased from 55.39% to 76.32%, and the particle size increased from 34.33 μm to 70,78 lain. In addition, when homogenization speed increased from 850 r/min to 2300 r/min, both particle size and encapsulation efficiency of microspheres decreased. An increase in the volume of aqueous phase led to higher encapsulation efficiency and bigger particle size. Increasing temperature made encapsulation efficiency and particle size change significantly. While reaction temperature increased from 20 ℃ to 50 ℃, the encapsulation efficiency decreased from 70.44% to 24.07%, and particle size increased from 38.66 μm to 69.38 μm. High reaction temperature（over 40 ℃） may lead to porous surface of microspheres. Porous surface, encapsulation efficiency and particle size influenced on the in vitro release of 5-HMT together.

关键词： Poly(lactic-co-glycolic acid) Microsphere Tolterodine Tolterodine metabolite

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A Bright Single-Photon Source from Nitrogen-Vacancy Centers in Diamond Nanowires

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Chinese Physics Letters 2017年第9期34卷 70-73页

作者： Shen Li Cui-Hong Li Bo-Wen Zhao Yang dong Cong-Cong Li xiang-dong chen Ya-Song Ge Fang-Wen Sun Key Lab of Quantum Information Chinese Academy of Sciences University of Science and Technology of China Hefei 230026 Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 Institute of Geology and Geophysics Chinese Academy of Sciences Beijing 100029 University of Chinese Academy of Sciences Beijing 100049

Single-photon flux is one of the crucial properties of nitrogen vacancy （NV） centers in diamond for its application in quantum information techniques. Here we fabricate diamond conical nanowires to enhance the single-photon count rate. Through the interaction between tightly confined optical mode in nanowires and NV centers, the single-photon lifetime is much shortened and the collection efficiency is enhanced. As a result, the detected single-photon rate can be at 564 kcps, and the total detection coefficient can be 0.8%, which is much higher than that in bulk diamond. Such a nanowire single-photon device with high photon flux can be applied to improve the fidelity of quantum computation and the precision of quantum sensors.

关键词： A Bright Single-Photon Source from Nitrogen-Vacancy Centers in Diamond Nanowires

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