Journal of Biophotonics最新文献

Multiparametric Wide-Field Fluorescence Imaging via Polarization Modulation With Liquid Crystal Rotators 液晶旋转器偏振调制多参数宽场荧光成像。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-15 DOI: 10.1002/jbio.202500187

Wenshuai Li, Bin Xu, Chaofu Sun, Weiping Liu, Yang Zhang, Ji Wu, Xuefeng Liu, Jichuan Xiong

{"title":"Multiparametric Wide-Field Fluorescence Imaging via Polarization Modulation With Liquid Crystal Rotators","authors":"Wenshuai Li, Bin Xu, Chaofu Sun, Weiping Liu, Yang Zhang, Ji Wu, Xuefeng Liu, Jichuan Xiong","doi":"10.1002/jbio.202500187","DOIUrl":"10.1002/jbio.202500187","url":null,"abstract":"<div>\u0000 \u0000 <p>Fluorescence polarization imaging provides critical insights into molecular orientation, yet existing methods face limitations in parameter extraction efficiency and implementation complexity. This study proposes Wide-Field Multiparametric Fluorescence Imaging (WMPFI) using a Liquid Crystal Polarization Rotator (LCPR) for rapid polarization state modulation that generates pixel-level intensity modulations that encode fluorophore orientation. By analyzing fluorescence intensity variations under different polarization excitations, WMPFI reconstructs sample structural information through parametric imaging without requiring optical lock-in detection or computational reconstruction algorithms. Comparative experiments with Conventional Microscopy (CM) demonstrate WMPFI's enhanced sensitivity to anisotropic fluorescent dipole orientations, achieving superior contrast and resolution in imaging neural stem cells and skin tissues. The method's capacity for multi-parameter acquisition through polarization modulation offers a simplified approach for probing subcellular material exchange dynamics, with potential extensions to super-resolution imaging modalities.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144639101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Controlled Thermal Stimulation Using 980-nm Laser for Collagen Remodeling 利用980纳米激光控制热刺激胶原蛋白重塑。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-14 DOI: 10.1002/jbio.202500213

Mijeong Kim, Hwarang Shin, Jiho Lee, Hyun Wook Kang

引用次数: 0

Hyperspectral Imaging for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Differentiation 肝细胞癌与肝内胆管癌鉴别的高光谱成像。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-14 DOI: 10.1002/jbio.202500227

Yunze Li, Haiyan Chen, Wei Li, Meng Yu, Jinlin Deng, Qize Lv, Yifei Liu, Shuai Gao

{"title":"Hyperspectral Imaging for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Differentiation","authors":"Yunze Li, Haiyan Chen, Wei Li, Meng Yu, Jinlin Deng, Qize Lv, Yifei Liu, Shuai Gao","doi":"10.1002/jbio.202500227","DOIUrl":"10.1002/jbio.202500227","url":null,"abstract":"<div>\u0000 \u0000 <p>This study proposed an intelligent intraoperative diagnostic framework that combines hyperspectral imaging (HSI) with deep reinforcement learning to accurately differentiate hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), the two main subtypes of primary liver cancer. To address the limitations of conventional imaging techniques and serum biomarkers, the authors constructed the first clinical HSI dataset of liver tumors (<i>n</i> = 131, spectral range 400–1000 nm). The proposed method integrates a 3D residual neural network (3D-ResNet) with a Proximal Policy Optimization (PPO)-based reinforcement learning algorithm, framing spectral band selection as a Markov decision process. An intraclass constrained cross-entropy loss further enhances class separability and compactness. Experimental results demonstrate a classification accuracy of 95%, outperforming traditional band selection approaches. This framework enables rapid, real-time tumor subtyping during surgery, addressing the critical clinical need for timely and accurate liver cancer diagnosis, and offers a promising tool for advancing precision oncology and improving intraoperative decision making.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144628342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Characterization of Undulation Patterns and Regional Features of the Oral Basement Membrane Zone Using Optical Coherence Tomography 使用光学相干断层成像定量表征口腔基底膜区波动模式和区域特征。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-11 DOI: 10.1002/jbio.202500252

Jiacheng Gu, Jinpeng Liao, Tianyu Zhang, Yilong Zhang, Simon Shepherd, Michaelina Macluskey, Zhihong Huang, Chunhui Li

{"title":"Quantitative Characterization of Undulation Patterns and Regional Features of the Oral Basement Membrane Zone Using Optical Coherence Tomography","authors":"Jiacheng Gu, Jinpeng Liao, Tianyu Zhang, Yilong Zhang, Simon Shepherd, Michaelina Macluskey, Zhihong Huang, Chunhui Li","doi":"10.1002/jbio.202500252","DOIUrl":"10.1002/jbio.202500252","url":null,"abstract":"<div>\u0000 \u0000 <p>Alterations in the undulation pattern of the basement membrane zone (BMZ) reflect early pathological changes in oral squamous cell carcinoma (OSCC). Optical coherence tomography (OCT) provides real-time, high-resolution, in vivo three-dimensional (3D) imaging of the oral mucosal microstructures, including BMZ. In this study, we quantified the undulation index of BMZ at four oral sites: the floor of the mouth, lower lip, buccal mucosa, and hard palate, and visualized their 3D morphological structures. Among regular participants, the mean undulation index varied across these sites: 14.64% ± 9.07% for floor, 8.74% ± 4.65% for lower lip, 9.45% ± 3.64% for buccal mucosa, and 14.84% ± 7.71% for hard palate. The corresponding epithelial thicknesses were 209.48 ± 87.51, 311.31 ± 106.85, 596.10 ± 138.40, and 444.83 ± 61.83 μm. It highlights the significance of BMZ morphology and epithelium thickness as potential diagnostic markers, offering a new approach for the early detection of OSCC.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring Immediate Photon Effects From 635 nm Light on Mitochondrial Bioenergetics 探索635 nm光对线粒体生物能量学的即时光子效应。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-10 DOI: 10.1002/jbio.202500162

Natasha F. Mezzacappo, Natalia M. Inada, Edilene S. Siqueira-Santos, José Dirceu Vollet-Filho, Roger F. Castilho, Michael L. Denton, Vanderlei S. Bagnato

{"title":"Exploring Immediate Photon Effects From 635 nm Light on Mitochondrial Bioenergetics","authors":"Natasha F. Mezzacappo, Natalia M. Inada, Edilene S. Siqueira-Santos, José Dirceu Vollet-Filho, Roger F. Castilho, Michael L. Denton, Vanderlei S. Bagnato","doi":"10.1002/jbio.202500162","DOIUrl":"10.1002/jbio.202500162","url":null,"abstract":"<p>Visible light primarily targets mitochondria at the cellular level, but photon interaction mechanisms are still not fully understood. This study examined the in vitro impacts of 635 nm laser irradiation using mitochondria isolated from mouse liver. Mitochondria samples were irradiated for 330 s inside the respirometer chamber, with delivered powers ranging from 100 to 800 mW, corresponding to power densities ranging from 31.6 to 211.7 mW/cm<sup>2</sup> inside the chamber. Analysis of real-time oxygen consumption showed an elevated proton leak during ATP synthase inhibition at 800 mW (211.7 mW/cm<sup>2</sup>, 69.9 J/cm<sup>2</sup>), suggesting enhanced permeability of the mitochondrial inner membrane. Under different experimental conditions, post-irradiation analysis revealed increased basal respiration with 400 mW (129.1 mW/cm<sup>2</sup>, 42.6 J/cm<sup>2</sup>) and 800 mW, along with increased susceptibility to Ca<sup>2+</sup>-triggered mitochondrial swelling. The investigation of mitochondrial bioenergetics demonstrated that red light induces transient and localized effects, highlighting the complexities of cellular and mitochondrial photostimulation mechanisms.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202500162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In Vivo Bacterial Tracking Technology Based on Membrane Dye Labeling 基于膜染料标记的体内细菌跟踪技术。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-09 DOI: 10.1002/jbio.202500172

Liang Zhou, Jiahe Li, Xian He, Mingxiao Liu

{"title":"In Vivo Bacterial Tracking Technology Based on Membrane Dye Labeling","authors":"Liang Zhou, Jiahe Li, Xian He, Mingxiao Liu","doi":"10.1002/jbio.202500172","DOIUrl":"10.1002/jbio.202500172","url":null,"abstract":"<div>\u0000 \u0000 <p>Present methodologies for assessing antimicrobial effectiveness in living systems are heavily dependent on terminal detection approaches, including colony-forming unit enumeration and histological examination after animal euthanasia, for evaluating antimicrobial characteristics. Such conventional assessment techniques fail to monitor real-time alterations in infectious conditions throughout therapeutic interventions. This investigation introduces an innovative approach employing lipophilic near-infrared fluorophores for bacterial fluorescent tagging, integrated with IVIS (in vivo imaging system) technology, to accomplish continuous surveillance of bacterial infections in targeted infection models. Subsequently to localized administration of fluorescently marked bacteria, IVIS imaging demonstrated temporal variations in fluorescent signals within infection sites, which were subsequently employed to assess the in vivo performance of antimicrobial biomaterials. This methodology has been successfully verified using a rat tibial bone defect infection model. Experimental findings indicate that this technique provides immediate visualization of antimicrobial treatment effects and enables accurate quantitative evaluation, offering a methodological foundation for in vivo antimicrobial efficacy assessment.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Quantitative Hemodynamic Evaluation Method of Laser Therapy for Scars Based on Diffuse Correlation Spectroscopy 一种基于漫射相关光谱的疤痕激光治疗定量血流动力学评价方法。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-09 DOI: 10.1002/jbio.202500178

Zhe Li, Yongjian Liu, Peng Tian, Chong Wang, Feng Tu, Chao Gao, Jiangtao Bai, Ruixin Fu, Jinchao Feng, Pengyu Liu, Kebin Jia

{"title":"A Novel Quantitative Hemodynamic Evaluation Method of Laser Therapy for Scars Based on Diffuse Correlation Spectroscopy","authors":"Zhe Li, Yongjian Liu, Peng Tian, Chong Wang, Feng Tu, Chao Gao, Jiangtao Bai, Ruixin Fu, Jinchao Feng, Pengyu Liu, Kebin Jia","doi":"10.1002/jbio.202500178","DOIUrl":"10.1002/jbio.202500178","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, we proposed a hemodynamic evaluation method for scar laser therapy based on diffuse correlation spectroscopy (DCS) quantitatively. In vivo experiments were conducted to validate the feasibility of the proposed method by monitoring microvascular blood flow (BF) before and immediately after the laser therapy via a custom-built DCS device. Six participants were enrolled with two kinds of laser therapy treatments, one of which is aimed to induce vasoconstriction, while the other is intended to promote vasodilation. The scar BF reduced by 43.27% and the power spectral density (PSD) of that reduced by 72% for the vasoconstriction laser therapy treatment, while the scar BF increased 338.73% and PSD increased by 917% for the vasodilation laser therapy treatment. Finally, experimental results indicated that DCS enables reliable quantitative evaluation for laser therapy of scars. We are confident that DCS will assist clinicians in understanding the microvascular hemodynamic conditions of scars.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cellular Identification of Single-Base Mutations in KRAS Gene Fragments Based on Nonhomologous Spectroscopic Data Fusion Modeling 基于非同源光谱数据融合模型的KRAS基因片段单碱基突变的细胞鉴定。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-08 DOI: 10.1002/jbio.202500239

Chenchen Wang, Alimire Abudureyimu, Qin Zhang, Weiquan You, Dandan Li, Xiaofan Jia, Yating Zhang, Chengjie Chen, Rong Hu, Mengyao Wang, Shangyuan Feng, Pengfei Guo, Yang Chen

{"title":"Cellular Identification of Single-Base Mutations in KRAS Gene Fragments Based on Nonhomologous Spectroscopic Data Fusion Modeling","authors":"Chenchen Wang, Alimire Abudureyimu, Qin Zhang, Weiquan You, Dandan Li, Xiaofan Jia, Yating Zhang, Chengjie Chen, Rong Hu, Mengyao Wang, Shangyuan Feng, Pengfei Guo, Yang Chen","doi":"10.1002/jbio.202500239","DOIUrl":"10.1002/jbio.202500239","url":null,"abstract":"<div>\u0000 \u0000 <p>The sensitivity of KRAS gene mutation detection in colorectal cancer (CRC) can affect prognosis. This study established a nonhomologous spectroscopic data fusion method based on nuclear magnetic resonance (NMR) and laser tweezers Raman spectroscopy (LTRS), in order to analyze the metabolic characteristics of wild-type cells DKS-8 and HEK-3, and their respective mutant cells DLD-1 and HCT-116. Through multivariate statistical analysis, it was found that there were significant differences between mutant and wild-type cells. Four metabolites including taurine, glucose, phosphorylcholine, and tyrosine were screened as characteristic metabolites. Single-base KRAS mutations commonly alter metabolic pathways like <span>d</span>-glutamine and <span>d</span>-glutamate metabolisms, alanine, aspartate, and glutamate metabolism, and arginine biosynthesis. It is concluded that the combination of nonhomologous spectral data fusion would enhance reliability of the single source-derived characteristic markers. The proposed strategy will benefit congeneric researches in the biomedical field.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid and Noninvasive Detection of Brucellosis in Human Based on Serum Fluorescence Spectrum Combined With Machine Learning Algorithms 基于血清荧光光谱结合机器学习算法的人类布鲁氏菌病快速无创检测。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-03 DOI: 10.1002/jbio.202500100

Ziyi Fang, Quan Wang, Yiwei Gong, Xiangxiang Zheng, Wubulitalifu Dawuti, Shengke Xu, Hui Zhao, Guodong Lü

{"title":"Rapid and Noninvasive Detection of Brucellosis in Human Based on Serum Fluorescence Spectrum Combined With Machine Learning Algorithms","authors":"Ziyi Fang, Quan Wang, Yiwei Gong, Xiangxiang Zheng, Wubulitalifu Dawuti, Shengke Xu, Hui Zhao, Guodong Lü","doi":"10.1002/jbio.202500100","DOIUrl":"10.1002/jbio.202500100","url":null,"abstract":"<div>\u0000 \u0000 <p>Brucellosis is a notable zoonotic disease caused by Brucella that is often overlooked. Diagnosis involves both clinical symptoms and serological examinations, which are accurate but time-consuming. Therefore, a simple and accurate method is needed. This study aims to assess the potential for diagnosing human brucellosis using serum fluorescence spectra in conjunction with principal component analysis–linear discriminant analysis (PCA-LDA), linear support vector machine (linear SVM), medium radial basis function support vector machine (RBF SVM), K-nearest neighbors (KNN), and decision tree (DT). The study of serum fluorescence spectra in brucellosis-infected compared to healthy revealed that patients with brucellosis had reduced peaks at 452, 624, and 688 nm and elevated peaks at 495 and 643 nm. SVM (linear/RBF) provides more accurate classification results than other algorithms. The method achieved an overall diagnostic accuracy of 89.0%. In conclusion, the serum fluorescence spectrum paired with the SVM (linear/RBF) algorithm is highly promising for human brucellosis detection.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology 应用高光谱成像技术鉴别甲状腺乳头状癌和结节性甲状腺肿伴乳头状增生。

IF 2 3区物理与天体物理

Journal of Biophotonics Pub Date : 2025-07-02 DOI: 10.1002/jbio.202500200

Baohua Zhang, Chunlei Wang, Xiaoqing Yang, Tiefeng Sun, Mengqiu Zhang, Hao Chen, Lingquan Meng

{"title":"Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology","authors":"Baohua Zhang, Chunlei Wang, Xiaoqing Yang, Tiefeng Sun, Mengqiu Zhang, Hao Chen, Lingquan Meng","doi":"10.1002/jbio.202500200","DOIUrl":"10.1002/jbio.202500200","url":null,"abstract":"<div>\u0000 \u0000 <p>Papillary thyroid carcinoma (PTC) and nodular goiter with papillary hyperplasia (NGPH) share similar histological features, complicating both preoperative and intraoperative diagnoses. We assessed hyperspectral imaging (HSI) combined with deep learning to differentiate PTC from NGPH. Forty-three paraffin-embedded PTC and 39 NGPH samples were imaged across 400–1000 nm, with reflectance calibration and Savitzky–Golay smoothing applied. Extracted spectral features were input into a one-dimensional convolutional neural network with a self-attention mechanism. HSI demonstrated sensitivity above 90% in the 500–600 nm and near-infrared regions for distinguishing PTC and NGPH. The model achieved an area under the ROC curve of 0.8635 and pixel-level classification accuracy of 87.07%, with both sensitivity and specificity at 87%. Spectral feature depth correlated significantly with histopathological parameters. These findings indicate that HSI combined with deep learning can accurately capture spectral differences between PTC and NGPH, supporting its potential for rapid intraoperative guidance and noninvasive preoperative screening.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 10","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0