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Automated identification and quantification of myocardial inflammatory infiltration in whole slide image to diagnose myocarditis

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Journal of Information and Intelligence 2025年

作者： Yanyun Liu Xiumeng Hua Xiangyu Liu Congrui Wang Xiao Chen Yu Shi Jiangping Song Shouping Zhu School of Life Science and Technology Xidian University & Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an Shaanxi China Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information & International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment School of Life Science and Technology Xidian University Xi'an Shaanxi China Innovation Center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of Technology Xidian University Guangzhou Guangdong China Beijing Key Laboratory of Preclinical Research and Evaluation for Cardiovascular Implant Materials Animal Experimental Centre Fuwai Hospital National Centre for Cardiovascular Disease Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China State Key Laboratory of Cardiovascular Disease Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College 167A Beilishi Road Xi Cheng District Beijing China Department of Cardiovascular Surgery Fuwai Hospital National Center for Cardiovascular Diseases National Clinical Research Center of Cardiovascular Diseases State Key Laboratory of Cardiovascular Disease Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China The Cardiomyopathy Research Group Fuwai Hospital Beijing China Changshu Institute of Technology

Computational pathology provides new opportunities for the rapid diagnosis of myocarditis using whole-slide images (WSIs). However, the high complexity and fine-grained features of myocarditis histopathological images limit the specificity of existing methods. To address this, we propose an automated identification and quantitative analysis method that leverages myocarditis histopathological features to detect myocardial inflammatory infiltration. This method employs deep learning techniques for cell nucleus segmentation, selecting lymphocyte nuclei based on their characteristics. The aggregation state is assessed by calculating the distances between lymphocyte nuclei, which enables the identification of inflammatory infiltration regions. The lymphocyte nuclei within these regions are further counted, and the average lymphocyte nucleus density (LND) of the WSI is calculated. The LND threshold is optimized using three-fold cross-validation for accurate myocarditis diagnosis. Our method achieved an accuracy of 0.905, sensitivity of 0.895, and an AUC of 0.915 on the test set. The specificity reached 0.936, representing a significant improvement of 29.1% over the clustering-constrained attention multiple instance learning (CLAM) network. Additionally, experiments demonstrate that the method performs effectively in identifying inflammatory infiltration in both myocarditis and cardiac immune rejection WSIs, with all accuracies exceeding 0.97.

关键词： Computational pathology Myocarditis diagnosis Inflammatory infiltration Lymphocyte nucleus density (LND)

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Ligand-Tuning Metallic Sites in Molecular Complexes for Efficient Water Oxidation

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Angewandte Chemie 2024年第3期137卷

作者： Yun Gao Dr. Chengdong Yang Fenglei Sun Prof. Daping He Xinqiang Wang Jian Chen Dr. Xiaobo Zheng Dr. Runcong Liu Prof. Hongge Pan Prof. Dingsheng Wang Engineering Research Center of Advanced Rare Earth Materials Department of Chemistry Tsinghua University Beijing 100084 China Key Laboratory for Colloid and Interface Chemistry Ministry of Education School of Chemistry and Chemical Engineering Shandong University Jinan 250100 China College of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China Hubei Engineering Research Center of RF-Microwave Technology and Application School of Science Wuhan University of Technology Wuhan 430070 China Institute of Science and Technology for New Energy Xi'an Technological University Xi'an 710021 China

Metal-organic hybrid catalysts with highly tunable single-sites are promising for oxygen-evolution reaction (OER), but molecular-scale understanding of underlying reaction mechanisms still remain elusive on these bulk materials. Herein, we report a direct construction of heterogenized molecular complexes stabilized on carbon substrates via coordinating Fe−Ni sites with four aromatic carboxylate ligands (FeNi-L x ). The ligands-tuning π-π stacking interaction between aromatic carboxylate ligands and carbon supports promote the oxidative charge accumulation on Fe−Ni sites via fast electron transferring, thus the optimized FeNi-L x rendering a mass activity of 6680 A g Fe/Ni −1 at 0.3 V overpotential. In situ characteristics and theoretical analysis demonstrate that the OH − nucleophilic attack on hypervalent iron sites induce the reconstruction of active Fe−O−Ni species, accompanying with fast valence increasing. Whereas, during OER, the unexpected valence reduction of Fe−O−Ni sites would be attributed to the oxygen-generating from OOH* intermediates. These findings would establish an essential understanding of the origin of active centers in molecular complexes catalysts for oxygen-evolution.

关键词： molecular complexes π-π stacking interaction charge accumulation structural reconstruction water oxidation

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Leptonic or hadronic emission: X-ray radiation mechanism of large-scale jet knots in 3C 273

arXiv

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arXiv 2020年

作者： Wang, Zhen-Jie Zhang, Jin Sun, Xiao-Na Liang, En-Wei Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Key Laboratory of Space Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China School of Astronomy and Space Science Nanjing University Nanjing210093 China

A comprehensively theoretical analysis on the broadband spectral energy distributions (SEDs) of large-scale jet knots in 3C 273 is presented for revealing their X-ray radiation mechanism. We show that these SEDs cannot be explained with a single electron population model when the Doppler boosting effect is either considered or not. By adding a more energetic electron (the leptonic model) or proton (the hadronic model) population, the SEDs of all knots are well represented. In the leptonic model, the electron population that contributes the X-ray emission is more energetic than the one responsible for the radio–optical emission by almost two orders of magnitude;the derived equipartition magnetic field strengths (Beq) are ∼ 0.1 mG. In the hadronic model, the protons with energy of ∼ 20 PeV are required to interpret the observed X-rays;the Beq values are several mG, larger than that in the leptonic model. Based on the fact that no resolved substructures are observed in these knots and the fast cooling-time of the high-energy electrons is difficult to explain the observed X-ray morphologies, we argue that two distinct electron populations accelerated in these knots are unreasonable and their X-ray emission would be attributed to the proton synchrotron radiation accelerated in these knots. In case of these knots have relativistic motion towards the observer, the super-Eddington issue of the hadronic model could be avoided. Multiwavelength polarimetry and the γ-ray observations with high resolution may be helpful to discriminate these models. Copyright © 2020, The Authors. All rights reserved.

关键词： X ray scattering

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Corrigendum to “Random projection ensemble conformal prediction for high-dimensional classification” [Chemometr. Intell. Lab. Syst. 253 (2024) 1–10, 105225]

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Chemometrics and Intelligent laboratory Systems 2024年 254卷

作者： Xiaoyu Qian Jinru Wu Ligong Wei Youwu Lin School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin 541002 PR China Guangxi Academy of Sciences High-tech Group Co. LTD Nanning 530007 PR China Center for Applied Mathematics of Guangxi (GUET) Guilin 541002 PR China Guanghua School of Management Peking University Beijing PR China

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Factors governing the tensile strength of basalt fibre 22

Factors governing the tensile strength of basalt fibre

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22nd International Conference on Composite Materials, ICCM 2019

作者： Xing, D. Xi, X.Y. Ma, P.C. Laboratory of Environmental Science and Technology Xinjiang Technical Institute of Physics and Chemistry Key Laboratory of Functional Materials and Devices for Special Environments Chinese Academy of Sciences Urumqi China Center of Material and Optoelectronic Research University of Chinese Academy of Science Beijing China

In this study, using basalt fibers produced by different manufacturers as the study subject. The basalt fibers were characterized by scanning electron microscope (SEM), atomic force microscopy (AFM), Fourier transform infrared spectroscopy (FT-IR) and Raman spectroscopy. The chemical composition of basalt fibers were determined by inductively coupled plasma-optical emission spectroscopy (ICP-OES) and potassium dichromate titrimetric method. The mechanical properties of single fibers were investigated by tensile tests using XQ-1A fiber tensile tester. The influences of Al2O3 content, Al2O3/network former, Fe3+/ΣFe on the mechanical properties of basalt fibers were investigated in details. The results showed that layered structure unit, chain structure unit, island structure unit and Si-Al replacement unit are all exited in basalt fiber microstructure. Al2O3 content plays a key role in the mechanical properties of basalt fibers, followed by Fe3+/ΣFe. Fe3+/ΣFe destroyed the regular pattern of the chemical composition in microstructure. © 2019 International Committee on Composite Materials. All rights reserved.

关键词： Tensile testing

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3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping

arXiv

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arXiv 2022年

作者： Chen, Zhifeng Liao, Congyu Cao, Xiaozhi Poser, Benedikt A. Xu, Zhongbiao Lo, Wei-Ching Wen, Manyi Cho, Jaejin Tian, Qiyuan Wang, Yaohui Feng, Yanqiu Xia, Ling Chen, Wufan Liu, Feng Bilgic, Berkin School of Biomedical Engineering Guangdong Provincial Key Laboratory of Medical Image Processing Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology Southern Medical University Guangzhou China Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital CharlestownMA United States Department of Radiology Harvard Medical School CharlestownMA United States Department of Data Science and AI Faculty of IT Monash University ClaytonVIC Australia Department of Radiology Stanford University Stanford CA United States Maastricht Brain Imaging Center Faculty of Psychology and Neuroscience University of Maastricht Netherlands Department of Radiotherapy Cancer Center Guangdong Provincial People's Hospital Guangdong Academy of Medical Science Guangzhou China Siemens Medical Solutions BostonMA United States Department of Chemical Pathology The Chinese University of Hong Kong Hong Kong Division of Superconducting Magnet Science and Technology Institute of Electrical Engineering Chinese Academy of Sciences Beijing China Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence Key Laboratory of Mental Health of the Ministry of Education Southern Medical University Guangzhou China Department of Biomedical Engineering Zhejiang University Hangzhou China Research Center for Healthcare Data Science Zhejiang Lab Hangzhou China School of Information Technology and Electrical Engineering The University of Queensland BrisbaneQLD Australia Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States

Purpose: This work aims to develop a novel distortion-free 3D-EPI acquisition and image reconstruction technique for fast and robust, high-resolution, whole-brain imaging as well as quantitative T2* mapping. Methods: 3D-Blip-Up and -Down Acquisition (3D-BUDA) sequence is designed for both single- and multi-echo 3D GRE-EPI imaging using multiple shots with blip-up and -down readouts to encode B0 field map information. Complementary k-space coverage is achieved using controlled aliasing in parallel imaging (CAIPI) sampling across the shots. For image reconstruction, an iterative hard-thresholding algorithm is employed to minimize the cost function that combines field map information informed parallel imaging with the structured low-rank constraint for multi-shot 3D-BUDA data. Extending 3D-BUDA to multi-echo imaging permits T2* mapping. For this, we propose constructing a joint Hankel matrix along both echo and shot dimensions to improve the reconstruction. Results: Experimental results on in vivo multi-echo data demonstrate that, by performing joint reconstruction along with both echo and shot dimensions, reconstruction accuracy is improved compared to standard 3D-BUDA reconstruction. CAIPI sampling is further shown to enhance the image quality. For T2* mapping, T2* values from 3D-Joint-CAIPI-BUDA and reference multi-echo GRE are within limits of agreement as quantified by Bland-Altman analysis. Conclusions: The proposed technique enables rapid 3D distortion-free high-resolution imaging and T2* mapping. Specifically, 3D-BUDA enables 1-mm isotropic whole-brain imaging in 22 s at 3 T and 9 s on a 7 T scanner. The combination of multi-echo 3D-BUDA with CAIPI acquisition and joint reconstruction enables distortion-free whole-brain T2* mapping in 47 s at 1.1×1.1×1.0 mm3 resolution. Copyright © 2022, The Authors. All rights reserved.

关键词： Mapping

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Giant Chern number of a Weyl nodal surface without upper limit

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Physical Review B 2022年第11期105卷 115118-115118页

作者： J.-Z. Ma S.-N. Zhang J. P. Song Q.-S. Wu S. A. Ekahana M. Naamneh M. Radovic V. N. Strocov S.-Y. Gao T. Qian H. Ding K. He K. Manna C. Felser N. C. Plumb O. V. Yazyev Y.-M. Xiong M. Shi Department of Physics City University of Hong Kong Kowloon Hong Kong China Photon Science Division Paul Scherrer Institute CH-5232 Villigen PSI Switzerland City University of Hong Kong Shenzhen Research Institute Shenzhen China Hong Kong Institute for Advanced Study City University of Hong Kong Kowloon Hong Kong China Institute of Physics École Polytechnique Fédérale de Lausanne CH-10 15 Lausanne Switzerland National Center for Computational Design and Discovery of Novel Materials MARVEL École Polytechnique Fédérale de Lausanne (EPFL) CH-1015 Lausanne Switzerland Anhui Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory HFIPS Anhui Chinese Academy of Sciences Hefei 230031 China University of Science and Technology of China Hefei Anhui 230026 China Department of Physics Ben-Gurion University of the Negev Beer-Sheva 84105 Israel Beijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing 100190 China Songshan Lake Materials Laboratory Dongguan Guangdong China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing 100049 China Department of Physics Tsinghua University Beijing 100084 China Max Planck Institute for Chemical Physics of Solids Dresden D-01187 Germany Department of Physics Indian Institute of Technology Delhi Hauz Khas New Delhi 110016 India Department of Physics School of Physics and Optoelectronics Engineering Anhui University Hefei 230601 China

Weyl nodes can be classified into zero-dimensional (0D) Weyl points, 1D Weyl nodal lines, and 2D Weyl nodal surfaces (WNS), which possess finite Chern numbers. Up to date, the largest Chern number of WPs identified in Weyl semimetals is 4, which is thought to be a maximal value for linearly crossing points in solids. On the other hand, whether the Chern numbers of nonzero-dimensional linear crossing Weyl nodal objects have one upper limit is still an open question. In this work, combining angle-resolved photoemission spectroscopy with density-functional theory calculations, we show that the chiral crystal AlPt hosts a cube-shaped charged WNS which is formed by the linear crossings of two singly degenerate bands. Different from conventional Weyl nodes, the cube-shaped nodal surface in AlPt is enforced by nonsymmorphic chiral symmetries and time-reversal symmetry rather than accidental band crossings, and it possesses a giant Chern number |C|=26. Moreover, our results and analysis prove that there is no upper limit for the Chern numbers of such kind of 2D Weyl nodal object.

关键词： Electronic structure First-principles calculations Symmetry protected topological states Topological materials Weyl semimetal Angle-resolved photoemission spectroscopy Density functional calculations

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Focal Surface Attitude Detection for LAMOST

arXiv

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arXiv 2020年

作者： Hu, T.-Z. Zhang, Y. Cui, X.-Q. Li, Y.-P. Pan, X.-S. Fu, Y. National Astronomical Observatories Nanjing Institute of Astronomical Optics & Technology Chinese Academy of Science Nanjing210042 China CAS Key Laboratory of Astronomical Optics & Technology Nanjing Institute of Astronomical Optics & Technology Nanjing210042 China University of the Chinese Academy of Sciences Beijing10049 China

With telescope apertures becoming larger and larger, the deployment of large-field telescopes is becoming increasingly popular. However, optical path calibration is necessary to ensure the image quality of large-field and large-diameter telescopes. In particular, focal plane attitude calibration is an essential optical path calibration technique that has a direct impact on image quality. In this paper, a focal plane attitude detection method using eight acquisition cameras is proposed based on the calibration requirements of the wide-field telescope, LAMOST. Comparison of simulation and experimental results shows that the detection accuracy of the proposed method can reach 30 arcsec. With additional testing and verification, this method could be used to facilitate regular focal plane attitude calibration for LAMOST as well as other large-field telescopes. Copyright © 2020, The Authors. All rights reserved.

关键词： Calibration

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Binding of per- and polyfluoroalkyl substances with liver and serum proteins in rats: implications for physiologically based pharmacokinetic modelling

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Environment international 2025年 201卷 109591页

作者： Xiarui Fan Xiaomin Li Tong Li Bing Shao Shan Niu Wenhong Fan Qi Wang Lv Zhong Xiangrui Wang Ziwei Wang Fujun Ma Guomao Zheng Hui Peng Lili Chen Zhaomin Dong School of Materials Science and Engineering Beihang University Beijing 100191 China. Institute of Quality Standards and Testing Technology for Agro-Products Chinese Academy of Agricultural Sciences Beijing 100081 China. Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety College of Veterinary Medicine China Agricultural University Beijing 100193 China. Advanced Interdisciplinary Institute of Environment and Ecology Guangdong Provincial Key Laboratory of Wastewater Information Analysis and Early Warning Beijing Normal University Zhuhai 519087 China. Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Sciences & Engineering Beijing Forestry University Beijing 100083 China. Southern Univ Sci & Technol Sch Environm Sci & Engn Shenzhen 518055 China. State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China. Department of Chemistry University of Toronto Toronto ON M5S 3H6 Canada School of the Environment University of Toronto Toronto ON M5S 3H6 Canada Structural Genomics Consortium Toronto ON M5S 3H6 Canada. School of Public Health Southeast University Nanjing China. Electronic address: chenlili_2408@***. School of Materials Science and Engineering Beihang University Beijing 100191 China School of Public Health Southeast University Nanjing China. Electronic address: dongzm@***.

Understanding the binding between per- and polyfluoroalkyl substances (PFAS) and proteins is essential for elucidating their toxicokinetics and tissue distribution. Here, we quantified the binding affinities of 14 PFAS to rat liver fatty acid-binding protein (rL-FABP) and rat serum albumin (RSA). Results showed that PFAS exhibit strong binding affinities (K) to the rL-FABP (10 ∼ 10 M), particularly among medium- to long-chain perfluorinated carboxylic acids (PFCAs). The binding affinity of PFAS to RSA ranged from approximately 10 to 10 M, with 1 to 4 binding sites. Molecular docking results supported that PFAS binding to proteins is an exothermic process driven by van der Waals forces, hydrogen bonding, and electrostatic interactions. Additionally, long-chain PFCAs were shown to adopt a "U"-shaped conformation within the ligand-binding cavities of rL-FABP and RSA. The newly developed physiologically based pharmacokinetic model using measured binding data demonstrates a substantial improvement in the goodness of fit to experimental observations, reducing the prediction error by 20 %∼216 %. Finally, we found that the PFAS liver-blood partition could be mainly explained by the binding affinity ratios of PFAS to liver and blood proteins, which could be further extrapolated from rats to humans, providing useful insights to understand the tissue distribution of PFAS.

关键词： Liver-blood partition PBPK model PFAS Protein binding Toxicokinetics

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Search for continuous gravitational wave signals in pulsar timing residuals: A new scalable approach with diffusive nested sampling

arXiv

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arXiv 2021年

作者： Songsheng, Yu-Yang Qian, Yi-Qian Li, Yan-Rong Du, Pu Chen, Jie-Wen Wang, Yan Mohanty, Soumya D. Wang, Jian-Min Key Laboratory for Particle Astrophysics Institute of High Energy Physics Chinese Academy of Sciences 19B Yuquan Road Beijing100049 China University of Chinese Academy of Sciences 19A Yuquan Road Beijing100049 China MOE Key Laboratory of Fundamental Physical Quantities Measurements Hubei Key Laboratory of Gravitation and Quantum Physics PGMF Department of Astronomy and School of Physics Huazhong University of Science and Technology Wuhan430074 China Department of Physics and Astronomy The University of Texas Rio Grande Valley One West University Blvd. BrownsvilleTX78520 United States National Astronomical Observatories of China Chinese Academy of Sciences 20A Datun Road Beijing100020 China

Detecting continuous nanohertz gravitational waves (GWs) generated by individual close binaries of supermassive black holes (CB-SMBHs) is one of the primary objectives of pulsar timing arrays (PTAs). The detection sensitivity is slated to increase significantly as the number of well-timed millisecond pulsars will increase by more than an order of magnitude with the advent of next-generation radio telescopes. Currently, the Bayesian analysis pipeline using parallel tempering Markov chain Monte Carlo has been applied in multiple studies for CB-SMBH searches, but it may be challenged by the high dimensionality of the parameter space for future large-scale PTAs. One solution is to reduce the dimensionality by maximizing or marginalizing over uninformative parameters semi-analytically, but it is not clear whether this approach can be extended to more complex signal models without making overly simplified assumptions. Recently, the method of diffusive nested (DNest) sampling shown the capability of coping with high dimensionality and multimodality effectively in Bayesian analysis. In this paper, we apply DNest to search for continuous GWs in simulated pulsar timing residuals and find that it performs well in terms of accuracy, robustness, and efficiency for a PTA including O(102) pulsars. DNest also allows a simultaneous search of multiple sources elegantly, which demonstrates its scalability and general applicability. Our results show that it is convenient and also high beneficial to include DNest in current toolboxes of PTA analysis. © 2021, CC BY.

关键词： Gravity waves

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