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A quantum-enhanced magnetometer using a single high-spin nucleus in silicon

Chinese Physics B 2024年第9期33卷 110-115页

作者： Tao Xin Ke Zhang Jun Li Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Physikalisch-Technische Bundesanstalt Bundesallee 10038116 BraunschweigGermany Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous IntegrationShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China

Quantum enhanced metrology has the potential to go beyond the standard quantum limit and eventually to the ultimate Heisenberg *** particular,quantum probes prepared in nonclassical coherent states have recently been recognized as a useful resource for ***,there has been considerable interest in constructing magnetic quantum sensors that combine high resolution and high ***,we explore a nanoscale magnetometer with quantum-enhanced sensitivity,based on 123Sb(I=7/2)nuclear spin doped in silicon,that takes advantage of techniques of spin-squeezing and coherent *** the optimal squeezed initial state,the magnetic field sensitivity may be expected to approach 6 aT·Hz^(−1/2)·cm^(−3/2) and 603 nT·Hz^(−1/2) at the single-spin *** magnetic sensor may provide a novel sensitive and high-resolution route to microscopic mapping of magnetic fields as well as other applications.

关键词： quantum magnetometer silicon quantum qubit nuclear electrical resonance

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Topologically engineering of π-conjugated macrocycles: Tunable emission and photochemical reaction toward multi-cyclic polymers

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Chinese Chemical Letters 2024年第10期35卷 233-240页

作者： Yi Liu Peng Lei Yang Feng Shiwei Fu Xiaoqing Liu Siqi Zhang Bin Tu Chen Chen Yifan Li Lei Wang Qing-Dao Zeng Shenzhen Key Laboratory of Polymer Science and Technology Guangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Materials Science and EngineeringShenzhen UniversityShenzhen 518060China CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in NanoscienceNational Center for Nanoscience andTechnology(NCNST)Beijing100190China Institute of Critical Materials for Integrated Circuits Shenzhen Polytechnic UniversityShenzhen 518055China

The topology of conjugated macrocycles had significant impacts on their photo-physical and photochemical ***,a series ofπ-conjugated macrocycles with diverse topology were synthesized via intramolecular McMurry *** chemical structure and macrocyclic topology were unambiguously confirmed via NMR,MALDI-TOF mass spectra,crystal analysis and scanning tunneling microscopy(STM).Depending on the structural topology and structural rigidity,these cyclic compounds display obviously distinctive emission behavior and photochemical reactions in the solution and in the solid *** phenylene vinylene macrocycle(denoted as MST)exhibiting aggregation-induced emission behavior,was more vulnerable to photo-cyclization in solution and triplet sensitizer promoted photodimerization due to lower strain and more flourishing intramolecular *** UV light irradiation,relatively more flexible MST could yield the anti-dimer via triplet excimer on the HOPG surface confirmed by STM *** contrast,highly constrained bicyclic analogue(named as DMTPE)with central tetraphenylethene core,displayed high emission quantum yields of 68%both in solution and in the solid state,and was relatively inert to photochemical reactions and yield syn-dimer on the surface via singlet excimer involved[2+2]*** on the solution-mediated photo-polymerization of MST moiety,multicyclic porous carbon-rich ribbon connected with four-membered ring was successfully constructed and validated via STM imaging.

关键词： Conjugated macrocycle Scanning tunneling microscopy Aggregation-induced emission Photochemistry Multicyclicribbon

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Quantum control for time-dependent noise by inverse geometric optimization

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Science China(Physics,Mechanics & Astronomy) 2024年第9期67卷 51-57页

作者： Xiaodong Yang Yingcheng Li Ran Liu Xinfang Nie Tao Xin Dawei Lu Jun Li Institute of Quantum Precision Measurement State Key Laboratory of Radio Frequency Heterogeneous IntegrationCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China State Key Laboratory of Surface Physics Department of PhysicsCenter for Field Theory and Particle Physicsand Institute for Nanoelectronic Devices and Quantum ComputingFudan UniversityShanghai 200433China Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area(Guangdong) Shenzhen 518045China

Quantum systems are exceedingly difficult to engineer because they are sensitive to various types of *** particular,timedependent noises are frequently encountered in experiments but how to overcome them remains a challenging *** this work,we propose a flexible robust control technique to resist time-dependent noises based on inverse geometric optimization working in the filter-function *** basic idea is to parameterize the control filter function geometrically and minimize its overlap with the noise spectral *** then effectively reduces the noise susceptibility of the controlled system *** show that the proposed method can produce high-quality robust pulses for realizing desired quantum evolutions under realistic noise ***,we demonstrate this method in examples including dynamical decoupling and quantum sensing protocols to enhance their performances.

关键词： time-dependent noise robust control quantum gates and states dynamical decoupling quantum sensing

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Scoliosis detection method based on fringe projection profilometry and deep learning

Scoliosis detection method based on fringe projection profil...

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2024 International Conference on Optical and Photonic engineering, icOPEN 2024

作者： Wang, Meng He, Dong Xu, Shaolei Tang, Qijian Peng, Xiang Liu, Xiaoli State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University Guangdong China Key Laboratory of Intelligent Optical Measurement and Detection of Shenzhen Shenzhen Institute of Information Technology Shenzhen Guangdong China School of Sino-German Robotics Shenzhen Institute of Information Technology Shenzhen Guangdong China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

In this paper, a fringe projection profilometry (FPP) system for three-dimensional (3D) imaging of the human back is proposed to assess scoliosis, which has developed into one of the top four health concerns affecting adolescents. The FPP system includes a binocular stereo vision system and an infrared projector, with a Field Programmable Gate Array (FPGA) based synchronization control system enabling a 240Hz acquisition frame rate. This high frame rate mitigates the impact of involuntary body movement on 3D image quality. Various features can be extracted from the generated 3D model of the back for quantitative postural assessment. Specifically, a deep learning approach is employed to analyze the extracted trunk rotation angle curve for scoliosis detection. Experimental results demonstrate a correlation between this method and X-ray detection, offering a promising exploratory approach to reduce reliance on X-ray imaging in scoliosis monitoring. © 2025 SPIE.

关键词： Stereo image processing

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Systematic fusion of polarization indices for improved characterization of complex anisotropic media

Systematic fusion of polarization indices for improved chara...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2025

作者： Tang, Qiaoqi Hao, Rui He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (纸本)9781510683921

As a non-invasive, label-free technique with excellent sensitivity to microstructural features in biological tissues, polarization imaging shows great potential in biomedical studies and clinical applications recently. Especially, quantitative characterization and evaluation of birefringence property using Mueller matrix polarimetry can help us obtain useful information on fibrous structures in tissue samples, which are related to many physiological and pathological processes. In this study, we propose systematic fusion of polarization indices for improved characterization of birefringence dynamics in complex anisotropic media. We firstly obtain the polarization basis parameters from Mueller matrix and transformed them into fused polarization feature parameters by employing explicit analytic expressions. The approach combined multidimensional polarimetric information to improve the characterization ability for birefringence dynamic variation process in complex anisotropic media. Then we adopt the Monte Carlo simulation and backscattering Mueller matrix measurements to verify the ability of fused polarization feature parameters. The results demonstrate that the fused polarization feature parameters can be used to capture variations in both direction and magnitude of birefringence in complex anisotropic media with good adaptability and interpretability. These findings on one hand give a more general view of anisotropic structure changes in tissue samples, on the other hand offer new methodological insights of information extraction for computational polarimetry in biomedical research and clinical applications. © 2025 SPIE

关键词： Anisotropic media

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Skin tissue classification based on Mueller matrix polarization imaging and machine learning

Skin tissue classification based on Mueller matrix polarizat...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2025

作者： Huang, Rui Deng, Kaisha He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (纸本)9781510683921

As an emerging tool for characterizing tissue structures label-freely, Mueller matrix polarimetry shows a good application potential in clinical diagnosis. Especially, it is feasible to use Mueller matrix images to evaluate skin tissues, which represent structural similarity in different individuals and have abundant anisotropic fibrous structures. However, due to the complexity of layered skin tissue structures, an accurate classification method based on Mueller matrix polarimetry is needed. In this study, we propose an automatic skin tissue structure classification model based on machine learning-assisted Mueller matrix polarization imaging. First, we adopt statistical methods such as kernel density estimation and independent sample K-W test to explore the relationship between different skin structures and Mueller matrix parameters. We select parameters that could better represent the differences in skin tissue layers. Then, we use selection algorithms to filter out a series of features with high weights. Furthermore, we establish a classification model for mouse tail skin tissue, and various indicators are used to evaluate the classification effect of different feature combinations of Mueller matrix parameters under different algorithms. It is concluded that the data set obtained from the m42 images after screening by the mutual information method has the best performance on the multi-layer perceptron model. The results provide an accurate skin tissue classification model for identifying lesion areas and types based on machine learning-assisted Mueller matrix polarimetry. © 2025 SPIE

关键词： Polarimeters

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Virtual staining for digital pathology based on Mueller matrix polarimetry 3

Virtual staining for digital pathology based on Mueller matr...

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3rd Conference on Biomedical Photonics and Cross-Fusion, BPC 2024

作者： Deng, Kaisha Fan, Jiahao He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (纸本)9781510682849

In recent years, Mueller matrix polarimetry has demonstrated significant advantages in assisting clinical pathology diagnosis. However, to address the challenge of providing clinicians with intuitive understandings of the structural information for the samples in polarization imaging, it is often necessary to directly transform polarization images into standard pathological stained images for pathologists through virtual staining techniques. In this study, we propose a polarimetric virtual staining method based on Cycle-Consistent Generative Adversarial Networks (CycleGAN) that employs unpaired Mueller matrix polarimetric images and bright-field images to generate standard hematoxylin and eosin (H&E) stained tissue images. In comparison to existing techniques that are primarily based on paired image model training, the proposed method simplifies the process of data acquisition and preprocessing. This preliminary demonstration offers insight into the potential of polarization-assisted digital pathology in clinical applications. © 2024 SPIE

关键词： Polarimeters

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PSIG-GAN: a polarization structure information guided generative adversarial network for stain transformation 15

PSIG-GAN: a polarization structure information guided genera...

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15th International Conference on Information Optics and Photonics, CIOP 2024

作者： Fan, Jiahao He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

Histopathological examination is one of the important methods in clinical pathology diagnosis, traditionally involving the observation and analysis of stained tissue slices under a microscope. However, the staining process for tissue slices is typically time-consuming and resource-intensive. Therefore, with the advancement of deep learning, virtual staining technique has been proposed to address this issue. This technique aims to achieve rapid pathological diagnosis by bypassing the conventional chemical staining process. The implementation of virtual staining often relies on generative adversarial network trained on non-paired data. However, due to the lack of effective constraint information, the network often fails to achieve accurate virtual staining. Thus, our study proposes a virtual staining paradigm guided by Mueller matrix polarization information to address this issue. By introducing additional polarization information, the model can effectively learn the mapping relationship between different stained images to achieve accurate staining effects. In this study, we use CycleGAN as an example to analyze the shortcomings of generative adversarial learning based on non-paired data. Additionally, by studying the transformation between H&E-stained images and Masson trichrome (MT) stained images, we propose a polarization structure information guided generative adversarial network (PSIG-GAN). Experimental results demonstrate that by incorporating polarization information into the generative network, the model can effectively produce highly accurate virtual stained images. © 2024 SPIE.

关键词： Generative adversarial networks

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Analysis and investigation of photon coordinate system transformation invariants in backscattering Mueller matrix computational polarimetry 7

Analysis and investigation of photon coordinate system trans...

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7th Global Intelligent Industry Conference, GIIC 2024

作者： Hao, Rui He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (纸本)9781510682986

Polarization imaging and computational polarimetric methods based on backscattering Mueller matrix measurement have shown great potential as a powerful information probing tool in the field of in vivo biomedical detection. However, for the backscattering polarization measurement system, the calculation and analysis of the Mueller matrix derived parameters are often related to the photon coordinate system, which can produce distinct responses with different selection and transformation of coordinate. Here, for the backscattering polarization measurement system with nearly the normal incidence, we first explore the representation of Mueller matrix elements in right-handed-nonunitary and non-right-handed-unitary systems, and further deduce and prove the photon coordinate system transformation invariants in the Mueller matrix decoding methods prevalently used in backscattering tissue polarimetry. Finally, we validate the theoretical derivation results experimentally, which can be helpful for providing a crucial criterion of parameters selection for backscattering Mueller matrix imaging under different photon coordinate systems. © 2024 SPIE.

关键词： Photons

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Effect of hematoxylin and eosin staining on tissue linear birefringence imaging: a case study

Effect of hematoxylin and eosin staining on tissue linear bi...

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Polarized Light and Optical Angular Momentum for Biomedical Diagnostics 2024

作者： Zheng, Haohan Deng, Liangyu He, Honghui Ma, Hui Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology Shenzhen Key Laboratory for Minimal Invasive Medical Technologies Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China

ISBN: (纸本)9781510669499

Hematoxylin-eosin staining is the gold standard for anatomic pathology as the general stain for histological examination of human tissue. Birefringent property is a valuable and commonly used metric for characterizing the anisotropic structure of tissue. When assessing the birefringent property of tissue slices, unstained slice is often preferred to avoid the potential effects of staining dyes. However, obtaining high-quality adjacent tissue samples is often difficult due to possible distortion, rotation, and uneven thickness of the tissue slices during sample preparation. In this study, we measure the Mueller matrix images of the unstained, hematoxylin stained, eosin stained, and hematoxylin-eosin stained tissue slices using the transmission Mueller matrix microscope developed in our previous study. Then the Mueller matrix polar decomposition parameter of linear phase retardance is calculated to describe the linear birefringent property of tissue. It is shown that the linear birefringent property is enhanced by the combination of dye molecules and birefringent structures, which may be due to the parallel attachment of the dye molecules to the fibers. To evaluate in detail the contrast consistency of tissue linear birefringence imaging from differently stained slices, we perform a similarity analysis using the Bhattacharyya coefficient, which demonstrated that hematoxylin, eosin, and hematoxylin-eosin staining do not generate linear birefringent property on region of tissue samples without birefringent structures. Therefore, it can be acceptable to prepare hematoxylin-eosin stained slice to obtain both bright field image and linear phase retardance image simultaneously for digital pathologic diagnosis. © 2024 SPIE.

关键词： Pathology

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