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Selective propagation and beam splitting of surface plasmons on metallic nanodisk chains

OPTICS LETTERS 2017年第9期42卷 1744-1747页

作者： Hu, Yuhui zhao, Di Wang, Zhenghan Chen, Fei Xiong, Xiang Peng, ruwen Wang, Mu Nanjing Univ Sch Phys Natl Lab Solid State Microstruct Nanjing 210093 Jiangsu Peoples R China Nanjing Univ Collaborat Innovat Ctr Adv Microstruct Nanjing 210093 Jiangsu Peoples R China

Manipulating the propagation of surface plasmons (SPs) on a nanoscale is a fundamental issue of nanophotonics. By using focused electron beam, SPs can be excited with high spatial accuracy. Here we report on the propagation of SPs on a chain of gold nanodisks with cathodoluminescence (CL) spectroscopy. Experimental evidence for the propagation of SPs excited by the focused electron beam is demonstrated. The wavelength of the transmitted SPs depends on the geometrical parameters of the nanodisk chain. Furthermore, we design and fabricate a beam splitter, which selectively transmits SPs of certain wavelengths to a specific direction. By scanning the sample surface point by point and collecting the CL spectra, we obtain the spectral mapping and identify that the chain of the smaller nanodisks can efficiently transport SPs at shorter wavelengths. This Letter provides a unique approach to manipulate in-plane propagation of SPs. (C) 2017 Optical Society of America

关键词： Electrons Light transmission Optical devices Resonant modes Surface plasmons X ray spectroscopy

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Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach

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NATURE COMMUNICATIONS 2024年第1期15卷 488页

作者： Barilar, Ivan Battaglia, Simone Borroni, Emanuele Brandao, Angela Pires Brankin, Alice Cabibbe, Andrea Maurizio Carter, Joshua Chetty, Darren Cirillo, Daniela Maria Claxton, Pauline Clifton, David A. Cohen, Ted Coronel, Jorge Crook, Derrick W. Dreyer, Viola Earle, Sarah G. Escuyer, Vincent Ferrazoli, Lucilaine Fowler, Philip W. Gao, George Fu Gardy, Jennifer Gharbia, Saheer Ghisi, Kelen Teixeira Ghodousi, Arash Gibertoni Cruz, Ana Luiza Grandjean, Louis Grazian, Clara Groenheit, Ramona Guthrie, Jennifer L. He, Wencong Hoffmann, Harald Hoosdally, Sarah J. Hunt, Martin Iqbal, Zamin Ismail, Nazir Ahmed Jarrett, Lisa Joseph, Lavania Jou, ruwen Kambli, Priti Khot, Rukhsar Knaggs, Jeff Koch, Anastasia Kohlerschmidt, Donna Kouchaki, Samaneh Lachapelle, Alexander S. Lalvani, Ajit Lapierre, Simon Grandjean Laurenson, Ian F. Letcher, Brice Lin, Wan-Hsuan Liu, Chunfa Liu, Dongxin Malone, Kerri M. Mandal, Ayan Mansjoe, Mikael Calisto Matias, Daniela Vicente Lucena Meintjes, Graeme de Freitas Mendes, Flavia Merker, Matthias Mihalic, Marina Millard, James Miotto, Paolo Mistry, Nerges Moore, David Musser, Kimberlee A. Ngcamu, Dumisani Nhung, Hoang Ngoc Niemann, Stefan Nilgiriwala, Kayzad Soli Nimmo, Camus O'Donnell, Max Okozi, Nana Oliveira, Rosangela Siqueira Omar, Shaheed Vally Paton, Nicholas Peto, Timothy E. A. Pinhata, Juliana Maira Watanabe Plesnik, Sara Puyen, Zully M. Rabodoarivelo, Marie Sylvianne Rakotosamimanana, Niaina Rancoita, Paola M. V. Rathod, Priti Robinson, Esther Rhiannon Rodger, Gillian Rodrigues, Camilla Rodwell, Timothy C. Roohi, Aysha Santos-Lazaro, David Shah, Sanchi Smith, Grace Kohl, Thomas Andreas Solano, Walter Spitaleri, Andrea Steyn, Adrie J. C. Supply, Philip Surve, Utkarsha Tahseen, Sabira Thuong, Nguyen Thuy Thuong Thwaites, Guy Todt, Katharina Trovato, Alberto Utpatel, Christian Van Rie, Annelies Vijay, Srinivasan Walker, A. Sarah Walker, Timothy M. Warren, Robin Werngren, Jim Wijkander, Maria Wilkinson, Robert J. Wilson, Daniel J. Wintringer, Penelope Xiao, Yu-Xin Yang, Yang Yanlin, zhao Yao, Res Ctr Borstel Borstel Germany IRCCS San Raffaele Sci Inst Milan Italy Fundacao Oswaldo Cruz Rio De Janeiro Brazil Adolfo Lutz Inst Sao Paulo Brazil Univ Oxford Oxford England Stanford Univ Sch Med Stanford CA 94305 USA Africa Hlth Res Inst Durban South Africa Scottish Mycobacteria Reference Lab Edinburgh Scotland Yale Sch Publ Hlth Yale MI USA Univ Peruana Cayetano Heredia Lima Peru Wadsworth Ctr New York State Dept Hlth Albany NY USA Chinese Ctr Dis Control & Prevent Beijing Peoples R China Bill & Melinda Gates Fdn Seattle WA USA UK Hlth Secur Agcy London England Univ Vita Salute San Raffaele Milan Italy UCL London England Univ New South Wales Sydney NSW Australia Publ Hlth Agcy Sweden Solna Sweden Univ British Columbia Vancouver BC Canada Publ Hlth Ontario Toronto ON Canada SYNLAB Gauting Munich Germany Inst Microbiol Lab Med IMLred WHO SRL Gauting Gauting Germany Hinxton EMBL EBI Hinxton England Natl Inst Communicable Dis Johannesburg South Africa Publ Hlth England Birmingham England Taiwan Ctr Dis Control Taipei Taiwan Hinduja Hosp Mumbai India Univ Cape Town Cape Town South Africa Univ Surrey Guildford England Imperial Coll London London England Univ Montreal Montreal PQ Canada Fdn Med Res Mumbai India Inst Microbiol Lab Med IMLred WHO SRL Gauting Germany London Sch Hyg & Trop Med London England Oxford Univ Clin Res Unit Ho Chi Minh City Vietnam German Ctr Infect Res DZ Hamburg Germany Columbia Univ Irving Med Ctr New York NY USA Natl Univ Singapore Singapore Singapore Inst Nacl Salud Lima Peru Inst Pasteur Madagascar Antananarivo Madagascar FIND Geneva Switzerland Univ Calif San Diego San Diego CA USA Univ Lille CHU Lille CNRS InsermU1019UMR 9017Ctr Infect & Immun LilleIn F-59000 Lille France Natl TB Control Program Natl TB Reference Lab Islamabad Pakistan Univ Antwerp Antwerp Belgium Univ Edinburgh Edinburgh Scotland Stellenbosch Univ Cape Town South Africa Wellcome Ctr Infect Dis Res Afri

The World Health Organization has a goal of universal drug susceptibility testing for patients with tuberculosis. However, molecular diagnostics to date have focused largely on first-line drugs and predicting susceptibilities in a binary manner (classifying strains as either susceptible or resistant). Here, we used a multivariable linear mixed model alongside whole genome sequencing and a quantitative microtiter plate assay to relate genomic mutations to minimum inhibitory concentration (MIC) in 15,211 Mycobacterium tuberculosis clinical isolates from 23 countries across five continents. We identified 492 unique MIC-elevating variants across 13 drugs, as well as 91 mutations likely linked to hypersensitivity. Our results advance genetics-based diagnostics for tuberculosis and serve as a curated training/testing dataset for development of drug resistance prediction algorithms.

关键词： Antibiotics Antimicrobial resistance Bacterial genes Infectious-disease diagnostics Pathogens

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Coordination of Constituent Systems for Functionalizing Systems of Systems: An Exploration

Coordination of Constituent Systems for Functionalizing Syst...

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Complex Adaptive Systems Conference on Engineering Cyber Physical Systems (CAS)

作者： Barnes, Walter L., II Calvin, Madison Linville, Katherine Song, Ya-nan Xu, Rong-hua zhao, Bo Qin, ruwen Missouri Univ Sci & Technol Dept Engn Management & Syst Engn 600 West14th St Rolla MO 65401 USA Guangdong Univ Technol Coll Automat Guangzhou 510006 Guangdong Peoples R China State Grid Zhejiang Elect Power Co Res Inst Hangzhou 310014 Zhejiang Peoples R China

Coordinating the constituent systems of a system of systems (SoS) in operations is an important task for functionalizing the SoS. The choice of a coordinating strategy needs to consider the autonomy, belonging, and connectivity levels of constituent systems. The diversity and emergence characteristics of SoS are outcomes of coordination. This paper analyzes different strategies for coordinating constituent systems from the perspective of SoS characteristics and, therefore, derives the mechanism for choosing a coordinating strategy. Challenges are found in implementing the coordinating strategies for SoS. The paper summarizes representative challenges facing system engineers. Methods for addressing these are proposed, including the multi-stage multiscale coordination and smart coordination of operating mode switches. An island energy system composed of both diesel engine generators and microgrids with renewable energy sources is presented in this paper as an example of SoS network. Various aspects of coordinating constituent systems in this SoS network are presented to illustrate how the choice and execution of coordinating strategies functionalize SoS. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： systems of systems constituent systems coordination complexity microgrid network

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CuS quantum dot modified carbon aerogel as an immobilizer for lithium polysulfides for high-performance lithium-sulfur batteries

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RSC ADVANCES 2016年第75期6卷 71319-71327页

作者： Li, Xueliang Hu, Kuan Tang, ruwen zhao, Kun Ding, Yunsheng Hefei Univ Technol Sch Chem & Chem Engn Hefei 230009 Peoples R China Anhui Key Lab Controllable Chem React & Mat Chem Hefei 230009 Peoples R China

CuS quantum dot (QD) modified carbon aerogels were successfully prepared via a facile and scalable method to encapsulate sulfur and polysulfides into the hierarchical porous channel of lithium-sulfur batteries. The surface morphologies and microstructures of the CuS QD modified composites and their electrochemical performances are investigated in detail. The modified 3D interconnected porous CA with excellent conductivity and high specific surface can effectively facilitate electron and ion transfer. The well-distributed CuS QDs further provide abundant active adsorption sites to anchor sulfur particles and polysulfides. As a result of the synergistic effect of CuS QD and hierarchical mesoporous carbon, the composite delivers a high initial capacity of 1318 mA h g(-1) at a current rate of 0.2C and retains 1073 mA h g(-1) after 100 cycles. Furthermore, the high conductive CuS QD modified composite provides a stabilized capacity of over 840 mA h g(-1) for over 500 cycles with only 0.05% decay per cycle at 0.5C.

关键词： Polysulfides

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Coordination of Constituent Systems for Functionalizing Systems of Systems: An Exploration

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Procedia Computer Science 2017年 114卷 375-383页

作者： Walter L. Barnes II Madison Calvin Katherine Linville Ya-nan Song Rong-hua Xu Bo zhao ruwen Qin College of Automation Guangdong University of Technology Guangzhou 510006 China State Grid Zhejiang Electric Power Company Research Institute Hangzhou Zhejiang 310014 China

Coordinating the constituent systems of a system of systems (SoS) in operations is an important task for functionalizing the SoS. The choice of a coordinating strategy needs to consider the autonomy, belonging, and connectivity levels of constituent systems. The diversity and emergence characteristics of SoS are outcomes of coordination. This paper analyzes different strategies for coordinating constituent systems from the perspective of SoS characteristics and, therefore, derives the mechanism for choosing a coordinating strategy. Challenges are found in implementing the coordinating strategies for SoS. The paper summarizes representative challenges facing system engineers. Methods for addressing these are proposed, including the multi-stage multi-scale coordination and smart coordination of operating mode switches. An island energy system composed of both diesel engine generators and microgrids with renewable energy sources is presented in this paper as an example of SoS network. Various aspects of coordinating constituent systems in this SoS network are presented to illustrate how the choice and execution of coordinating strategies functionalize SoS.

关键词： systems of systems constituent systems coordination complexity microgrid network

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Application of machine learning techniques to tuberculosis drug resistance analysis

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BIOINFORMATICS 2019年第13期35卷 2276-2282页

作者： Kouchaki, Samaneh Yang, Yang Walker, Timothy M. Walker, A. Sarah Wilson, Daniel J. Peto, Timothy E. A. Crook, Derrick W. Clifton, David A. Hoosdally, Sarah J. Cruz, Ana L. Gibertoni Carter, Joshua Grazian, Clara Fowler, Philip W. Iqbal, Zamin Hunt, Martin Smith, E. Grace Rathod, Priti Jarrett, Lisa Matias, Daniela Cirillo, Daniela M. Borroni, Emanuele Battaglia, Simone Ghodousi, Arash Spitaleri, Andrea Cabibbe, Andrea Tahseen, Sabira Nilgiriwala, Kayzad Shah, Sanchi Rodrigues, Camilla Kambli, Priti Surve, Utkarsha Khot, Rukhsar Niemann, Stefan Kohl, Thomas Merker, Matthias Hoffmann, Harald Molodtsov, Nikolay Plesnik, Sara Ismail, Nazir Omar, Shaheed Vally Joseph, Lavania Marubini, Elliott Thwaites, Guy Thuong Nguyen Thuy Thuong Nhung Hoang Ngoc Srinivasan, Vijay Moore, David Coronel, Jorge Solano, Walter Gao, George F. He, Guangxue zhao, Yanlin Ma, Aijing Liu, Chunfa Zhu, Baoli Laurenson, Ian Claxton, Pauline Wilkinson, Robert J. Lalvani, Ajit Posey, James Gardy, Jennifer Werngren, Jim Paton, Nicholas Jou, ruwen Wu, Mei-Hua Lin, Wan-Hsuan Ferrazoli, Lucilaine de Oliveira, Rosaline Siqueira Univ Oxford Inst Biomed Engn Dept Engn Sci Oxford England Univ Oxford Nuffield Dept Med Oxford England John Radcliffe Hosp Natl Inst Hlth Res Oxford Biomed Res Ctr Oxford England UCL Clin Trials Unit MRC London England Univ Oxford Li Ka Shing Ctr Hlth Informat & Discovery Nuffield Dept Populat Hlth Oxford England Publ Hlth England Natl Infect Serv London England Univ Oxford Oxford England European Bioinformat Inst Cambridge England Publ Hlth England Birmingham W Midlands England IRCCS San Raffaele Sci Inst Emerging Bacterial Pathogens Unit Milan Italy Natl TB Control Program Pakistan Islamabad Pakistan Fdn Med Res Mumbai Maharashtra India Hinduja Natl Hosp & Med Res Ctr Mumbai Maharashtra India Res Ctr Borstel Borstel Germany IML Red Inst Microbiol & Lab Med Gauting Germany Natl Inst Communicable Dis Johannesburg South Africa Univ Oxford Clin Res Unit Ho Chi Minh City Vietnam London Sch Hyg & Trop Med London England Univ Peruana Cayetano Hereda Lima Peru China CDC Beijing Peoples R China Chinese Acad Sci Inst Microbiol Beijing Peoples R China Scottish Mycobacteria Reference Lab Edinburgh Midlothian Scotland Univ Cape Town Rondebosch South Africa Imperial Coll London London England CDC Atlanta Atlanta GA USA Univ British Columbia Vancouver BC Canada Publ Hlth Agcy Sweden Stockholm Sweden Natl Univ Singapore Singapore Singapore CDC Taiwan Taipei Taiwan Adolfo Lutz Inst Sao Paulo Brazil

Motivation Timely identification of Mycobacterium tuberculosis (MTB) resistance to existing drugs is vital to decrease mortality and prevent the amplification of existing antibiotic resistance. Machine learning methods have been widely applied for timely predicting resistance of MTB given a specific drug and identifying resistance markers. However, they have been not validated on a large cohort of MTB samples from multi-centers across the world in terms of resistance prediction and resistance marker identification. Several machine learning classifiers and linear dimension reduction techniques were developed and compared for a cohort of 13 402 isolates collected from 16 countries across 6 continents and tested 11 drugs. Results Compared to conventional molecular diagnostic test, area under curve of the best machine learning classifier increased for all drugs especially by 23.11%, 15.22% and 10.14% for pyrazinamide, ciprofloxacin and ofloxacin, respectively (P<0.01). Logistic regression and gradient tree boosting found to perform better than other techniques. Moreover, logistic regression/gradient tree boosting with a sparse principal component analysis/non-negative matrix factorization step compared with the classifier alone enhanced the best performance in terms of F1-score by 12.54%, 4.61%, 7.45% and 9.58% for amikacin, moxifloxacin, ofloxacin and capreomycin, respectively, as well increasing area under curve for amikacin and capreomycin. Results provided a comprehensive comparison of various techniques and confirmed the application of machine learning for better prediction of the large diverse tuberculosis data. Furthermore, mutation ranking showed the possibility of finding new resistance/susceptible markers. Availability and implementation The source code can be found at http://***/ davidc/***

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微波消解-火焰原子吸收光谱法测定不同产地牡蛎中微量元素的含量

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西部中医药 2018年第6期31卷 24-26页

作者：袁如文李健民张安娜黄绮雯庄艳婷卢佳欣赵成国吉林大学珠海学院广东珠海519041

目的:测定广东省内4地中药材牡蛎中铁(Fe)、锰(Mn)、锌(Zn)、铜(Cu)4种微量元素的含量。方法:微波消解处理牡蛎,并用火焰原子吸收光谱法测定元素的含量。结果:采集于台山的牡蛎中Fe、Zn元素含量显著高于其余3地,Mn元素略低于其余3地。... 详细信息

目的:测定广东省内4地中药材牡蛎中铁(Fe)、锰(Mn)、锌(Zn)、铜(Cu)4种微量元素的含量。方法:微波消解处理牡蛎,并用火焰原子吸收光谱法测定元素的含量。结果:采集于台山的牡蛎中Fe、Zn元素含量显著高于其余3地,Mn元素略低于其余3地。除此之外,其余3地牡蛎中4种元素含量较为接近。而且4地4元素中均以Fe元素含量最高,为116.76~307.14μg/g。实验回收率在97.68%~102.74%之间,RSD在0.321%~1.083%之间。结论:本法用于中药材中微量元素Fe、Mn、Zn、Cu的含量测定简单、快捷、准确。实验数据为为后续研究牡蛎的作用价值、牡蛎药材品质分析、多途径开发利用废弃牡蛎提供参考依据。

关键词：牡蛎微波消解火焰原子吸收光谱法微量元素

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DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

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BIOINFORMATICS 2019年第18期35卷 3240-3249页

作者： Yang, Yang Walker, Timothy M. Walker, A. Sarah Wilson, Daniel J. Peto, Timothy E. A. Crook, Derrick W. Shamout, Farah Zhu, Tingting Clifton, David A. Arandjelovic, Irena Comas, Ifiaki Farhat, Maha R. Gao, Qian Sintchenko, Vitali van Soolingen, Dick Hoosdally, Sarah Cruz, Ana L. Gibertoni Carter, Joshua Grazian, Clara Earle, Sarah G. Kouchaki, Samaneh Fowler, Philip W. Iqbal, Zamin Hunt, Martin Smith, E. Grace Rathod, Priti Jarrett, Lisa Matias, Daniela Cirillo, Daniela M. Borroni, Emanuele Battaglia, Simone Ghodousi, Arash Spitaleri, Andrea Cabibbe, Andrea Tahseen, Sabira Nilgiriwala, Kayzad Shah, Sanchi Rodrigues, Camilla Kambli, Priti Surve, Utkarsha Khot, Rukhsar Niemann, Stefan Kohl, Thomas Merker, Matthias Hoffmann, Harald Molodtsov, Nikolay Plesnik, Sara Ismail, Nazir Omar, Shaheed Vally Thwaites, Guy Thuong Nguyen Thuy Thuong Nhung Hoang Ngoc Srinivasan, Vijay Moore, David Coronel, Jorge Solano, Walter Gao, George F. He, Guangxue zhao, Yanlin Ma, Aijing Liu, Chunfa Zhu, Baoli Laurenson, Ian Claxton, Pauline Koch, Anastasia Wilkinson, Robert Lalvani, Ajit Posey, James Gardy, Jennifer Werngren, Jim Paton, Nicholas Jou, ruwen Wu, Mei-Hua Lin, Wan-Hsuan Ferrazoli, Lucilaine de Oliveira, Rosangela Siqueira Univ Oxford Inst Biomed Engn Dept Engn Sci Oxford OX3 7DQ England Oxford Suzhou Ctr Adv Res Suzhou 215123 Peoples R China Univ Oxford Nuffield Dept Med John Radcliffe Hosp Headley Way Oxford OX3 9DS England John Radcliffe Hosp NIHR Oxford Biomed Res Ctr Headley Way Headington Oxford OX3 9DU England Univ Oxford Li Ka Shing Ctr Hlth Informat & Discovery Nuffield Dept Populat Hlth Big Data Inst Old Rd Campus Oxford OX3 7LF England Publ Hlth England Natl Infect Serv Wellington House 133-155 Waterloo Rd London England Univ Oxford Oxford England European Bioinformat Inst Cambridge England Publ Hlth England Birmingham W Midlands England IRCCS San Raffaele Sci Inst Emerging Bacterial Pathogens Unit Milan Italy Natl TB Control Program Pakistan Islamabad Pakistan Fdn Med Res Mumbai Maharashtra India PD Hinduja Natl Hosp & Med Res Ctr Mumbai Maharashtra India Res Ctr Borstel Sulfeld Germany IML Red Inst Microbiol & Lab Med Gauting Germany Natl Inst Communicable Dis Johannesburg South Africa Univ Oxford Clin Res Unit Ho Chi Minh City Vietnam London Sch Hyg & Trop Med London England Univ Peruana Cayetano Hereda Lima Peru China CDC Beijing Peoples R China Chinese Acad Sci Inst Microbiol Beijing Peoples R China Scottish Mycobacteria Reference Lab Edinburgh Midlothian Scotland Univ Cape Town Cape Town South Africa Imperial Coll London London England CDC Atlanta Atlanta GA USA Univ British Columbia Vancouver BC Canada Publ Hlth Agcy Sweden Solna Sweden Natl Univ Singapore Singapore Singapore CDC Taiwan Taipei Taiwan Adolfo Lutz Inst Sao Paulo Brazil

Motivation: Resistance co-occurrence within first-line anti-tuberculosis (TB) drugs is a common phenomenon. Existing methods based on genetic data analysis of Mycobacterium tuberculosis (MTB) have been able to predict resistance of MTB to individual drugs, but have not considered the resistance co-occurrence and cannot capture latent structure of genomic data that corresponds to lineages. Results: We used a large cohort of TB patients from 16 countries across six continents where whole-genome sequences for each isolate and associated phenotype to anti-TB drugs were obtained using drug susceptibility testing recommended by the World Health Organization. We then proposed an end-to-end multi-task model with deep denoising auto-encoder (DeepAMR) for multiple drug classification and developed DeepAMR_cluster, a clustering variant based on DeepAMR, for learning clusters in latent space of the data. The results showed that DeepAMR outperformed baseline model and four machine learning models with mean AUROC from 94.4% to 98.7% for predicting resistance to four first-line drugs [i.e. isoniazid (INH), ethambutol (EMB), rifampicin (RIF), pyrazinamide (PZA)], multi-drug resistant TB (MDR-TB) and pan-susceptible TB (PANS-TB: MTB that is susceptible to all four first-line anti-TB drugs). In the case of INH, EMB, PZA and MDR-TB, DeepAMR achieved its best mean sensitivity of 94.3%, 91.5%, 87.3% and 96.3%, respectively. While in the case of RIF and PANS-TB, it generated 94.2% and 92.2% sensitivity, which were lower than baseline model by 0.7% and 1.9%, respectively. t-SNE visualization shows that DeepAMR_cluster captures lineage-related clusters in the latent space.

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IMPROVED STABILITY AND RELEASE BEHAVIORS OF RHGH IN PK3/PLGA MICROSPHERES WITH DIFFERENT PK3/PLGA RATIOS

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JOURNAL OF INVESTIGATIVE MEDICINE 2016年第8期64卷 A8-A8页

作者： zhao, Chengguo Qin, Shuzhi Wang, Liying Yuan, ruwen Li, Jing Teng, Lirong Jilin Univ Zhuhai Coll Zhuhai Peoples R China Jilin Univ Coll Life Sci Changchun Peoples R China

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CORE-SHELL NANOSPHERES FOR PH-RESPONSIVE RELEASE OF ANTICANCER DRUGS AND NEAR-INFRARED IMAGING

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JOURNAL OF INVESTIGATIVE MEDICINE 2016年第8期64卷 A16-A16页

作者： Jin, Yuanbao Yuan, ruwen Jin, Yuanyuan Wang, Liying Fu, Jia zhao, Mingzhi Meng, Fanxin Jilin Univ Dept Chem & Pharm Zhuhai Coll Zhuhai Peoples R China Chuangchun Univ Chinese Med Coll Pharm Changchun Peoples R China

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