Silvana Torres Perez, Lucas Andreo, José Antonio Silva Junior, Sandra Kalil Bussadori, Anna Carolina Ratto Tempestini Horliana, Raquel Agnelli Mesquita-Ferrari, Kristianne Porta Santos Fernandes
{"title":"Effect of Photobiomodulation on an Experimental Model of Lower Limb Ischemia","authors":"Silvana Torres Perez, Lucas Andreo, José Antonio Silva Junior, Sandra Kalil Bussadori, Anna Carolina Ratto Tempestini Horliana, Raquel Agnelli Mesquita-Ferrari, Kristianne Porta Santos Fernandes","doi":"10.1002/jbio.202400305","DOIUrl":"10.1002/jbio.202400305","url":null,"abstract":"<div>\u0000 \u0000 <p>Photobiomodulation (PBM) has been shown to be promising for the promotion of angiogenesis. The present study investigated the effects of PBM on vascularization in an animal model of peripheral artery disease. Wistar rats were divided into three groups. The control group received no procedures. The ischemia group was submitted to ligation of the femoral artery of the hindleg. The ischemia + PBM group was submitted to ligation of the femoral artery followed by PBM (660 and 808 nm, 100 mW, 4 J) over the site. Animals with ischemia treated with PBM exhibited comparable results to the control group with regards to the diameter of the α-SMA+ vessels, cross-sectional area of muscle fibers, percentage of collagen and serum concentration of IL-17A, as well as similarities in terms of vertical mobility, temperature of the hindleg, number of acts of grooming, and percentage of movement, indicating a condition like that of limbs unaffected by ischemia.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 12","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484167","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}
Hao Guo, Ashley E. Stueck, Jason B. Doppenberg, Yun Suk Chae, Alexey B. Tikhomirov, Haishan Zeng, Marten A. Engelse, Boris L. Gala-Lopez, Anita Mahadevan-Jansen, Ian P. J. Alwayn, Andrea K. Locke, Kevin C. Hewitt
{"title":"Evaluation of Minimum-to-Severe Global and Macrovesicular Steatosis in Human Liver Specimens: A Portable Ambient Light-Compatible Spectroscopic Probe","authors":"Hao Guo, Ashley E. Stueck, Jason B. Doppenberg, Yun Suk Chae, Alexey B. Tikhomirov, Haishan Zeng, Marten A. Engelse, Boris L. Gala-Lopez, Anita Mahadevan-Jansen, Ian P. J. Alwayn, Andrea K. Locke, Kevin C. Hewitt","doi":"10.1002/jbio.202400292","DOIUrl":"10.1002/jbio.202400292","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Aims</h3>\u0000 \u0000 <p>Hepatic steatosis (HS), particularly macrovesicular steatosis (MaS), influences transplant outcomes. Accurate assessment of MaS is crucial for graft selection. While traditional assessment methods have limitations, non-invasive spectroscopic techniques like Raman and reflectance spectroscopy offer promise. This study aimed to evaluate the efficacy of a portable ambient light-compatible spectroscopic system in assessing global HS and MaS in human liver specimens.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A two-stage approach was employed on thawed snap-frozen human liver specimens under ambient room light: biochemical validation involving a comparison of fat content from Raman and reflectance intensities with triglyceride (TG) quantifications and histopathological validation, contrasting Raman-derived fat content with evaluations by an expert pathologist and a “Positive Pixel Count” algorithm. Raman and reflectance intensities were combined to discern significant (≥ 10%) discrepancies in global HS and MaS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The initial set of 16 specimens showed a positive correlation between Raman and reflectance-derived fat content and TG quantifications. The Raman system effectively differentiated minimum-to-severe global and macrovesicular steatosis in the subsequent 66 specimens. A dual-variable prediction algorithm was developed, effectively classifying significant discrepancies (> 10%) between algorithm-estimated global HS and pathologist-estimated MaS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our study established the viability and reliability of a portable spectroscopic system for non-invasive HS and MaS assessment in human liver specimens. The compatibility with ambient light conditions and the ability to address limitations of previous methods marks a significant advancement in this field. By offering promising differentiation between global HS and MaS, our system introduces an innovative approach to real-time and quantitative donor HS assessments. The proposed method holds the promise of refining donor liver assessment during liver recovery and ultimately enhancing transplantation outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 12","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400292","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484168","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}
Xin Su, Jianhui Wan, Zixi Zheng, Xinyue Xing, Shengde Liu, Shuxian Yang, Liyun Zhong, Xiaoxu Lu
{"title":"A Pair of Indicators for Characterizing Cerebral Microbleeds Based on Raman Spectrum and Two-Photon Imaging","authors":"Xin Su, Jianhui Wan, Zixi Zheng, Xinyue Xing, Shengde Liu, Shuxian Yang, Liyun Zhong, Xiaoxu Lu","doi":"10.1002/jbio.202400247","DOIUrl":"10.1002/jbio.202400247","url":null,"abstract":"<div>\u0000 \u0000 <p>Cerebral microbleeds (CMBs) lead to cognitive decline, linked to the axonal structure composed of phospholipid bilayers. Current methods are difficult to obtain in situ changes of biochemical component concentration during CMB. In this study, by Raman spectrum and two-photon imaging, we achieve in situ changes in the information of biochemical components concentration during CMB. The overall concentration of phospholipids in the damaged tissue significantly decreases after CMB, forming a large region of low concentration, but the relative concentration of phosphatidylinositol (PI) increases, reflecting the inhibition role of the phosphatidylinositol 3 kinase/protein kinase B (PI3K/Akt) pathway. Accordingly, two-photon images of neurons show a clear decrease in the number of axons, indicating a close correlation between phospholipid hydrolysis and axon damage, as well as cognitive impairment. Therefore, the decrease in phospholipid concentration and the increase in the PI concentration might serve as a pair of indicators for characterizing CMB and its relationship with cognitive decline.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 12","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402503","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}
Alexey N. Semenov, Andrei E. Lugovtsov, Petr B. Ermolinskiy, Alexander V. Priezzhev
{"title":"Laser Aggregometry Assessment of Blood Microrheology in a Slit Fluidic Channel Covered With Endothelial Cells","authors":"Alexey N. Semenov, Andrei E. Lugovtsov, Petr B. Ermolinskiy, Alexander V. Priezzhev","doi":"10.1002/jbio.202400379","DOIUrl":"10.1002/jbio.202400379","url":null,"abstract":"<p>The blood rheology in vitro in glass or plastic microfluidic chips is different from that in vivo in blood vessels with similar geometry. Absence of vascular endothelium is suggested to cause these discrepancies. This work aims to perform in vitro measurements of blood microrheologic parameters in a slit microfluidic channel covered with endothelial cells (HUVEC). The laser aggregometry was employed to measure the intensity of laser light, backscattered from the blood flow, as a function of shear stress to evaluate the hydrodynamic strength of red blood cells (RBC) aggregates in terms of critical shear stress (CSS). The results demonstrated a decrease in CSS accompanied by an increase in the accuracy of its measurement at similar shear stresses when endothelial cells were present in the channel. The findings hold valuable implications for advanced approaches for endothelization of microfluidic devices, facilitating the study of blood flow dynamics in physiologically more relevant environment.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 12","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400379","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402505","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}
Artemii Korobov, Zlata Besedovskaia, Elizaveta Petrova, Alexey Kurnikov, Anna Glyavina, Anna Orlova, Svetlana Nemirova, Irina Druzhkova, Marina Sirotkina, Evgeny Shirshin, Dmitry Gorin, Lei Xi, Daniel Razansky, Pavel Subochev
{"title":"SKYQUANT 3D: Quantifying Vascular Anatomy With an Open-Source Workflow for Comprehensive Analysis of Volumetric Optoacoustic Angiography Data","authors":"Artemii Korobov, Zlata Besedovskaia, Elizaveta Petrova, Alexey Kurnikov, Anna Glyavina, Anna Orlova, Svetlana Nemirova, Irina Druzhkova, Marina Sirotkina, Evgeny Shirshin, Dmitry Gorin, Lei Xi, Daniel Razansky, Pavel Subochev","doi":"10.1002/jbio.202400143","DOIUrl":"10.1002/jbio.202400143","url":null,"abstract":"<p>Efficient visualization of the vascular system is of key importance in biomedical research into tumor angiogenesis, cerebrovascular alterations, and other angiopathies. Optoacoustic (OA) angiography offers a promising solution combining molecular optical contrast with high resolution and deep penetration of ultrasound. However, its hybrid nature implies complex data collection and processing workflows, with significant variability in methodologies across developers and users. To streamline interoperability, we introduce SKYQUANT 3D, a Python-based set of instructions for the Thermo Fisher Scientific Amira/Avizo 3D Visualization & Analysis Software. Our workflow simplifies the batch processing of volumetric optoacoustic angiography images, extracting meaningful quantitative information while also providing statistical analysis and graphical representation of the results. Quantification performance of SKYQUANT 3D is demonstrated using functional preclinical and clinical in vivo 3D OA angiographic tests involving ambient temperature variations and repositioning of the imaged limb.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jbio.202400143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396330","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}
{"title":"Spatially Resolved Fibre-Optic Probe for Cervical Precancer Detection Using Fluorescence Spectroscopy and PCA-ANN-Based Classification Algorithm: An In Vitro Study","authors":"Shivam Shukla, Bhaswati Singha Deo, Nemichand, Pankaj Singh, Prabodh Kumar Pandey, Asima Pradhan","doi":"10.1002/jbio.202400284","DOIUrl":"10.1002/jbio.202400284","url":null,"abstract":"<div>\u0000 \u0000 <p>Cervical cancer can be detected at an early stage through the changes occurring in biochemical and morphological properties of epithelium layer. Fluorescence spectroscopy has the ability to identify these subtle changes non-invasively and in real time with good accuracy in comparison with conventional techniques. In this paper, we report the usage of a custom designed spatially resolved fibre-optic probe (SRFOP), which consists of 77 fibres in two concentric rings, for the detection of cervical cancer using fluorescence spectroscopy technique. The aim of this study is to classify different grades of cervical precancer on the basis of their fluorescence spectra followed by a robust classification algorithm. Fluorescence spectra of 28 cervical tissue samples of different categories have been recorded using six detector fibres of FOP at different spatial locations with the source fibre (SF). A 405 nm laser diode source has been utilised to excite the samples and a USB 4000 Ocean Optics spectrometer to collect the output spectra in the wavelength range 400–700 nm. Principal component analysis (PCA) was applied to the collected spectra to reduce the dimensionality of the data while preserving the most significant features for classification. The first 10 principal components, which captured the majority of the variance in the spectra, were selected as input features for the classification model. Classification was then performed using an artificial neural network (ANN) with a specific architecture, including an input layer, hidden layers, and a softmax activation function in the output layer. Experimental and classification results both demonstrate that proximal fibres (PFs) perform better than distal fibres (DFs) in capturing the discriminatory features present in the epithelium layer of cervical tissue samples as PF collect most of the signal from the epithelium layer. The combined approach of spatially resolved fluorescence spectroscopy and PCA-ANN classification techniques is able to discriminate different grades of cervical precancer and normal with an average sensitivity, specificity and accuracy of 93.33%, 96.67% and 95.57%, respectively.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396332","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}
Xiaohan Chang, Lingbo Cai, Jianlei Wang, Hongyang Dong, Jing Han, Chun Wang
{"title":"Sparse-View Photoacoustic Reconstruction Method for Diabetic Retinopathy Using Feature Fusion Network","authors":"Xiaohan Chang, Lingbo Cai, Jianlei Wang, Hongyang Dong, Jing Han, Chun Wang","doi":"10.1002/jbio.202400287","DOIUrl":"10.1002/jbio.202400287","url":null,"abstract":"<div>\u0000 \u0000 <p>Diabetic retinopathy is one of the most prevalent microvascular complications of diabetes mellitus, and photoacoustic imaging is an effective method for imaging diabetic retinal vessels. Photoacoustic imaging is an emerging noninvasive imaging method based on the photoacoustic effect, which offers advantages of contrast, resolution, and depth imaging. Appropriate photoacoustic reconstruction methods are essential for obtaining high-quality photoacoustic images. In this study, a multi-input self-attention multiscale feature fusion network (SAMF-Net) is proposed for photoacoustic reconstruction. The algorithm accepts two inputs, namely the original photoacoustic signal and the traditional reconstructed image. Furthermore, a global feature extraction module based on the self-attention mechanism is employed to focus on the global information. The results demonstrate that the proposed method exhibits superior reconstruction capability under different sparse detection views. The method has instructive value for photoacoustic image reconstruction and has the potential for further application in the diagnosis of diabetic retinopathy.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396331","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}
Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen, Chengyi Gao, Huangjian Yi, Xin Cao
{"title":"Dictionary Learning Method Based on K-Sparse Approximation and Orthogonal Procrustes Analysis for Reconstruction in Bioluminescence Tomography","authors":"Linzhi Su, Limin Chen, Wenlong Tang, Huimin Gao, Yi Chen, Chengyi Gao, Huangjian Yi, Xin Cao","doi":"10.1002/jbio.202400308","DOIUrl":"10.1002/jbio.202400308","url":null,"abstract":"<div>\u0000 \u0000 <p>Bioluminescence tomography (BLT) is one kind of noninvasive optical molecular imaging technology, widely used to study molecular activities and disease progression inside live animals. By combining the optical propagation model and inversion algorithm, BLT enables three-dimensional imaging and quantitative analysis of light sources within organisms. However, challenges like light scattering and absorption in tissues, and the complexity of biological structures, significantly impact the accuracy of BLT reconstructions. Here, we propose a dictionary learning method based on K-sparse approximation and Orthogonal Procrustes analysis (KSAOPA). KSAOPA uses an iterative alternating optimization strategy, enhancing solution sparsity with k-coefficients Lipschitzian mappings for sparsity(K-LIMAPS) in the sparse coding stage, and reducing errors with Orthogonal Procrustes analysis in the dictionary update stage, leading to stable and precise reconstructions. We assessed the method performance through simulations and in vivo experiments, which showed that KSAOPA excels in localization accuracy, morphological recovery, and in vivo applicability compared to other methods.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396329","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}
Qize Lv, Ke Liang, ChongXuan Tian, YanHai Zhang, YunZe Li, JinLin Deng, WeiMing Yue, Wei Li
{"title":"Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning","authors":"Qize Lv, Ke Liang, ChongXuan Tian, YanHai Zhang, YunZe Li, JinLin Deng, WeiMing Yue, Wei Li","doi":"10.1002/jbio.202400325","DOIUrl":"10.1002/jbio.202400325","url":null,"abstract":"<div>\u0000 \u0000 <p>Thymoma, a rare tumor from thymic epithelial cells, presents diagnostic challenges because of the subjective nature of traditional methods, leading to high false-negative rates and long diagnosis times. This study introduces a thymoma classification technique that integrates hyperspectral imaging with deep learning. We initially capture pathological slice images of thymoma using a hyperspectral camera and delineate regions of interest to extract spectral data. This data undergoes reflectance calibration and noise reduction. Subsequently, we transform the spectral data into two-dimensional images via the Gramian Angular Field (GAF) method. A variant residual network is then utilized to extract features and classify these images. Our results demonstrate that this model significantly enhances classification accuracy and efficiency, achieving an average accuracy of 95%. The method proves highly effective in automated thymoma diagnosis, optimizing data utilization, and feature representation learning.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373932","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}
Alina A. Platonova, Polina V. Aleksandrova, Anna I. Alekseeva, Sophya P. Kudryavtseva, Arsen K. Zotov, Kirill I. Zaytsev, Kirill B. Dolganov, Igor V. Reshetov, Vladimir N. Kurlov, Irina N. Dolganova
{"title":"Feasibility of Monitoring Tissue Properties During Microcirculation Disorder Using a Compact Fiber-Based Probe With Sapphire Tip","authors":"Alina A. Platonova, Polina V. Aleksandrova, Anna I. Alekseeva, Sophya P. Kudryavtseva, Arsen K. Zotov, Kirill I. Zaytsev, Kirill B. Dolganov, Igor V. Reshetov, Vladimir N. Kurlov, Irina N. Dolganova","doi":"10.1002/jbio.202400368","DOIUrl":"10.1002/jbio.202400368","url":null,"abstract":"<div>\u0000 \u0000 <p>One of the urgent tasks of modern medicine is to detect microcirculation disorder during surgery to avoid possible consequences like tissue hypoxia, ischemia, and necrosis. To address this issue, in this article, we propose a compact probe with sapphire tip and optical sensing based on the principle of spatially resolved diffuse reflectance analysis. It allows for intraoperative measurement of tissue effective attenuation coefficient and its alteration during the changes of tissue condition, caused by microcirculation disorder. The results of experimental studies using (1) a tissue-mimicking phantom based on lipid emulsion and hemoglobin and (2) a model of hindlimb ischemia performed in a rat demonstrated the ability to detect rapid changes of tissue attenuation confirming the feasibility of the probe to sense the stressful exposure. Due to a compact design of the probe, it could be useful for rather wide surgical operations and diagnostic purposes as an auxiliary instrument.</p>\u0000 </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 11","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142362602","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}