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      Peertechz Publisher ID: 10.17352
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    Editor-in-Chief

    Wei Min HUANG

    Wei Min HUANG
    Nanyang Technological University, Singapore
    Email: shape_memory_material@hotmail.com, mwmhuang@ntu.edu.sg
    Tel: 0065 84664500
    Fax: 0065 67924062
    Skype: shape_memory_material@hotmail.com

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    Executive Editors

    Carlo Massaroni
    School of Engineering
    Università Campus Bio-Medico di Roma
    Italy
    c.massaroni@unicampus.it
    ABSE

    Carlo Massaroni was born in Anzio (Rome) in 1988.

    He received the B.S. Degree in Biomedical Engineering from Università Campus Bio-Medico di Roma in December 2010. The Bachelor thesis title was "Perception Analysis of the form by the use of a numerical chessboard" and it was carried out in collaboration with the Bioinformatics Lab of the same University.

    He received the M.S. Degree  with highest honors in Biomedical Engineering from Università Campus Bio-Medico di Roma in December 2012. His graduation Thesis was entitled "Preliminary validation of a respiratory apparatus simulator for the assessment of metrological characteristics of a optoelectronic plethysmograph".

    With his thesis he won two relevant National Price. On September he has been awarded the 2013 SIAMOC Dissertation Prize by the Italian Society of Clinical Movement Analysis (SIAMOC) in recognition of the outstanding quality of his undergraduate research. On October he has been awarded the 2013 GNB Dissertation Price by the Italian National Bioengineering Group (GNB) for outstanding contribute in the field of Rehabilitation and Prosthetics.

    From April 2013 to January 2014 he worked as Biomechanical Researcher in the Unit of Rehabilitation at Scientific Institute for Research IRCCS Eugenio Medea of Conegliano (TV), as Scholarship Winner and Assignee for 2013.

    He was PhD Student in Biomedical Engineering at Università Campus Bio-Medico di Roma from January 2014 to December 2016: he started working in the Laboratory of Measurements and Biomedical Instrumentation in January 2014, under the supervision of Prof. Sergio Silvestri.

    In 2014 he has achieved the Professional Qualification as Industrial Engineer (Section A). He was Jury Aggregate Member as Topic expert in Biomedical Instrumentation during the State Examinations enabling the exercise of the profession of Engineer on behalf of Ordine degli Ingegneri of Rome. Section A - Industrial Section.

    From February 2015 is Student Mentor for the International Biomechanics Society (ISB) in Instrumentation for Human Motion, Optoelectronic Systems and Optoelectronic Plethysmography.  

    On July 2015 he has been awarded the International Grant Travel Program Award by the International Society of Biomechanics (ISB) with the project "MoCBA - MOtion Capture for Breathing Assessment". MoCBA is an interdisciplinary project taking advantage of the research cooperation between the School of Sport & Exercise Sciences (SSES) at the University of Kent (Dr. Dickinson and Dr. Winter) and the School of Engineering, Research Unit of Measurement and Biomedical Instrumentation (UCBM) at the Campus Bio-Medico di Roma University. He is currently (until 22/04/2016) a Visiting PhD Student  at University of Kent (Medway Campus, Kent, UK), where he is working in the Respiratory Clinic Unit.

    On September 2017 he has been awarded the 2017 GNB Thesis Award by the Italian National Bioengineering Group (GNB) for outstanding contribute in the field of Biorobotics and Biomechanics.

    URL: http://mtmbilaben.weebly.com/carlo-massaroni.html

    Grant Details:

    2017 IEEE Sensor Council Travel Award (€ 1000) to attend the 2nd IEEE Sensors Summer
    School on Optical Fibre Sensors at the University of Limerick, Ireland. 26th – 30th
    June 2017 - Limerick, Ireland.
    2016 European Society of Biomechanics (ESB) Travel Award (€ 400) to attend the 22nd
    Congress of the European Society of Biomechanics (Respiratory Biomechanics
    Session) - Lyon, France.
    2015 International Society of Biomechanics (ISB) International Travel Grant (ITG2015) ($
    2500) to fund the Research Project “MoCBA: Motion Capture for Breathing
    Assessment” and to fund the foreign period of 6 months at University of Kent (UK).

    Number of Publications: 43 </xml> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-IN;} </style> List of Publications: 43

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    Editorial Board

    Carlos Gomez
    Biomedical Engineering Group
    University of Valladolid
    Spain
    cargom@tel.uva.es
    ABSE

    Research Interest: His current research interests include non-linear analysis of biomedical time series, specially the analysis of electroencephalographic and magnetoencephalographic recordings to help physicians in the diagnosis of brain disorders

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    Gabriel Molina de Olyveira
    Department of Biomaterials and Tissue Engineering
    UNESP- Chemistry Institute
    Brazil
    gmolyveira@yahoo.com.br
    ABSE

    Research Interest: Applied research specifically in tissue engineering, biomaterials and regenerative medicine. Currently focus is bionanomedicine, bionanocomposites and bionanotechnology

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    Margaret Tzaphlidou
    Professor
    Department of Medical Physics
    University of Ioannina
    Greece
    mtzaphli@uoi.gr
    ABSE

    Research Interest: Connective Tissue, Drugs Action, Microscopy, Protein Modeling, Bone Structure, Trace/major Elements, Image Processing, Electromagnetism, Spectroscopy, Biometrics, Human Networks

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    Wei Min Huang
    School of Mechanical and Aerospace Engineering
    Nanyang Technological University
    Singapore
    MWMHuang@ntu.edu.sg
    ABSE

    Research Interest: Shape memory materials and composites (bulk and thin film), Laser annealing and micro fabrication, Thin films (characterization and materials/devices) Micro/nano mechanics, nano patterning and indentation technology, Surface and optical properties of smart materials.  Advanced and novel materials.  Micro assembly and packaging, active disassembly. Deployable and bi-stable structures. Materials selection Flight mechanism in inserts Micro biomedical devices

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    Jin-Won Park
    Professor
    Chemical and Biomolecular Engineering
    Seoul National University of Science and Technology
    South Korea
    jwpark@seoultech.ac.kr
    ABSE

    Jin-Won Park received his B.S. degree from Korea University in 1998 and his M.S. and Ph.D. degrees from Purdue University, USA in 2003 and 2005, respectively. From 2007 to 2010, he was an assistant professor at the Gachon University, Korea. Since 2010, he has been a professor at Seoul National University of Science and Technology. His research interests are in biomimetic membranes and their applications.

    Research Interests

    Biophysics of Interfaces

    The cell membrane, the interface between the cell and its environment, is the functional element in cellular metabolism and signaling. A great deal is found about the lipid, protein and saccharide constituents of membranes and their organization, and the physical properties are related with structures and functions.

    A model has been utilized to study the physical properties of the cell membranes in which (glyco) proteins such as integrins, selectins, and lectins are involved in cellular interactions. On the other hand, direct measurements of the surface forces between lipid bilayers of phosphatidylethanolamine, phosphatidylcholoine, and galactolipids, the most common lipids in animal and plant membranes, suggest strong repulsive forces between highly hydrated head groups, which prevent membranes from coming into contact and reacting, adhering or fusing. Much could be known about the function and organization of the membrane's constituents if the physical properties of membranes could be measured with nano-meter scale lateral resolution.

    Biosensing Platforms

    Early detection of infectious diseases is important to enhance the quality of medical care and limit the spread of emerging infectious diseases. Thus, there is a need for rapid, sensitive, and inexpensive point-of-care sensors that have capability to identify multiple pathogens in complex samples such as blood.

    Novel techniques have been developed for sensing pathogens, based on microfluidics. Eventually, the techniques will be platform for high throughput with low sample volume reagents and highly selective analyte sensing. These assays are designed to abstract molecular level details and mechanistic insights from biophysical and bioanalytical problems that would otherwise be difficult to approach.

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    Petra Maresova
    petra.maresova@uhk.cz
    ABSE

    Research Interest: Business Economics, Knowledge Management, Cost Benefit Analysis Method – application in company and in medical device market development, Healthcare, efectivness of medical equipment development. 

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    Kranthi Kolli
    Post-doctoral Research Associate
    Department of Radiology
    Weill Cornell Medical College
    USA
    krk2009@med.cornell.edu
    ABSE

    Biography:

    My research focuses on establishing the clinical applicability of two new diagnostic parameters (to detect coronary artery disease) using a set of bench-top experiments, computational analysis, pre-clinical and clinical trials in our research group. These proposed diagnostic parameters based on fluid dynamic principles, pressure drop coefficient and lesion flow coefficient, have the potential to make a real paradigm shift in clinical decision making related to cardiovascular intervention. As part of my research involving pre-clinical and clinical trials I had collaborated with clinicians and scientists at College of Medicine, University of Cincinnati and at Cincinnati Children's Hospital and Medical Center. Preliminary results from these studies have concluded the clinical applicability of these parameters to distinguish between stenoses of various severity.
    More recently, at Weill Cornell Medical College, I am working on using 3D printing, machine learning and computational fluid dynamics to predict and prevent coronary artery disease from non-invasive CCTA imaging data.

    Research Interest: 3D printing, Computational fluid dynamics, clinical radiology, non-invasive CCTA scanning, machine learning, interventional cardiology, applied mathematics, bio-heat transfer

    List of Publications:

    1. Al'Aref SJ, Anchouche K, Singh G, Slomka PJ, Kolli KK, Kumar A, Pandey M, Maliakal G, van Rosendael AR, Beecy AN, Berman DS, Leipsic J, Nieman K, Andreini D, Pontone G, Schoepf UJ, Shaw LJ, Chang HJ, Narula J, Bax JJ, Guan Y, Min JK. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2018. Epub 2018/07/31. doi: 10.1093/eurheartj/ehy404. PubMed PMID: 30060039. Available from: https://www.ncbi.nlm.nih.gov/pubmed/30060039.

    2. Kolli KK, Min JK. Image-based computational fluid dynamic analysis for surgical planning of sequential grafts in coronary artery bypass grafting. Accepted as Contributed full paper for publication in Conference Proceedings for IEEE Engineering in Medicine and Biology Society Conference. 2018. [Accepted]

    3. van Rosendael AR, Maliakal G, Kolli KK, Beecy A, Al'Aref SJ, Dwivedi A, Singh G, Panday M, Kumar A, Ma X, Achenbach S, Al-Mallah MH, Andreini D, Bax JJ, Berman DS, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJW, Cury RC, DeLago A, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Kim YJ, Leipsic JA, Maffei E, Marques H, Pontone G, Raff GL, Rubinshtein R, Shaw LJ, Villines TC, Gransar H, Lu Y, Jones EC, Pena JM, Lin FY, Min JK. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry. J Cardiovasc Comput Tomogr. 2018;12(3):204-9. Epub 2018/05/14. doi: 10.1016/j.jcct.2018.04.011. PubMed PMID: 29753765. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29753765.

    4. Singh G, Al'Aref SJ, Van Assen M, Kim TS, van Rosendael A, Kolli KK, Dwivedi A, Maliakal G, Pandey M, Wang J, Do V, Gummalla M, De Cecco CN, Min JK. Machine learning in cardiac CT: Basic concepts and contemporary data. J Cardiovasc Comput Tomogr. 2018; 12(3):192-201. Epub 2018/05/15. doi: 10.1016/j.jcct.2018.04.010. PubMed PMID: 29754806. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29754806.

    5. Beecy AN, Chang Q, Anchouche K, Baskaran L, Elmore K, Kolli KK, Wang H, Al'Aref S, Pena JM, Knight-Greenfield A, Patel P, Sun P, Zhang T, Kamel H, Gupta A, Min JK. A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography. JACC Cardiovascular imaging. 2018. Epub 2018/05/21. doi: 10.1016/j.jcmg.2018.03.012. PubMed PMID: 29778866. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29778866.

    6. Peelukhana SV, Banerjee R, van de Hoef TP, Kolli KK, Effat M, Helmy T, Leesar M, Kerr H, Piek JJ, Succop P, Back L, Arif I. Evaluation of lesion flow coefficient for the detection of coronary artery disease in patient groups from two academic medical centers. Cardiovascular Revascularization
    Kranthi Kolli 6 10/05/2018Medicine. 2018;19(3 Pt B):348-54. Epub 2017/10/19. doi: 10.1016/j.carrev.2017.08.018. PubMed PMID: 29037762. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29037762.

    7. Han D, Starikov A, Xiong G, Hartaigh B, Granser H, Kolli KK, Lee J, Rizvi A, Baskaran L, Schulman-Marcus J, Lin FY, Min JK. Relationship between endothelial wall shear stress and high-risk atherosclerotic plaque characteristic for identification of coronary lesions that cause ischemia: A direct comparison to fractional flow reserve. Journal of the American Heart Association. 2016; 5(12). doi: 10.1161/JAHA.116.004186. PubmMed PMID: 27993831. Available from: https://www.ncbi.nlm.nih.gov/pubmed/27993831

    8. Kolli KK, Min JK, Ha S, Soohoo H, Xiong G. Effect of Varying Hemodynamic and Vascular Conditions on Fractional Flow Reserve: An In Vitro Study. Journal of the American Heart Association. 2016;5(7). doi: 10.1161/JAHA.116.003634. PubMed PMID: 27364988. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27364988.

    9. Kolli KK, van de Hoef TP, Effat MA, Banerjee RK, Peelukhana SV, Succop P, Leesar MA, Imran A, Piek JJ, Helmy TA. Diagnostic cutoff for pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve: A patient-level analysis. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2016;87(2):273-82. doi: 10.1002/ccd.26063. PubMed PMID: 26424295. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26424295.

    10. Peelukhana SV, Effat M, Kolli KK, Arif I, Helmy T, Leesar M, Kerr H, Back LH, Banerjee R. Lesion flow coefficient: a combined anatomical and functional parameter for detection of coronary artery disease--a clinical study. The Journal of invasive cardiology. 2015;27(1):54-64. PubMed PMID: 25589702. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25589702.

    11. Peelukhana SV, Banerjee R, Kolli KK, Fernandez-Ulloa M, Arif I, Effat M, Helmy T, Kerr H. Benefit of ECG-gated rest and stress N-13 cardiac PET imaging for quantification of LVEF in ischemic patients. Nuclear medicine communications. 2015;36(10):986-98. doi: 10.1097/MNM.0000000000000352. PubMed PMID: 26225941. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26225941.

    12. Peelukhana SV, Kolli KK, Leesar MA, Effat MA, Helmy TA, Arif I, Schneeberger EW, Succop P, Banerjee RK. Effect of myocardial contractility on hemodynamic end points under concomitant microvascular disease in a porcine model. Heart and vessels. 2014;29(1):97-109. doi: 10.1007/s00380-013-0355-9. PubMed PMID: 23624760. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23624760.

    13. Peelukhana SV, Kerr H, Kolli KK, Fernandez-Ulloa M, Gerson M, Effat M, Arif I, Helmy T, Banerjee R. Benefit of cardiac N-13 PET CFR for combined anatomical and functional diagnosis of ischemic coronary artery disease: a pilot study. Annals of nuclear medicine. 2014;28(8):746-60. doi: 10.1007/s12149-014-0869-y. PubMed PMID: 24950752. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24950752.

    14. Kolli KK, Helmy TA, Peelukhana SV, Arif I, Leesar MA, Back LH, Banerjee RK, Effat MA. Functional diagnosis of coronary stenoses using pressure drop coefficient: a pilot study in humans. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2014;83(3):377-85. doi: 10.1002/ccd.25085. PubMed PMID: 23785016. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23785016.

    15. Kolli KK, Effat MA, Peelukhana SV, Succop P, Back LH, Leesar MA, Helmy TA, Imran A, Banerjee RK. Hyperemia-free delineation of epicardial and microvascular impairments using a basal index. Annals of biomedical engineering. 2014;42(8):1681-90. doi: 10.1007/s10439-014-1020-x. PubMed PMID: 24806315. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24806315.
    Kranthi Kolli 7 10/05/2018

    16. Kolli KK, Arif I, Peelukhana SV, Succop P, Back LH, Helmy TA, Leesar MA, Effat MA, Banerjee RK. Diagnostic performance of pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve. The Journal of invasive cardiology. 2014;26(5):188-95. PubMed PMID: 24791716. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24791716.

    17. Kolli KK, Paul AK, Back LH, Effat MA, Banerjee RK. Optimization of balloon obstruction for simulating equivalent pressure drop in physiological stenoses. Biorheology. 2013;50(5-6):257-68. doi: 10.3233/BIR-130640. PubMed PMID: 24398608. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24398608.

    18. Peelukhana SV, Banerjee RK, Kolli KK, Effat MA, Helmy TA, Leesar MA, Schneeberger EW, Succop P, Gottliebson W, Irif A. Effect of heart rate on hemodynamic endpoints under concomitant microvascular disease in a porcine model. American journal of physiology Heart and circulatory physiology. 2012;302(8):H1563-73. doi: 10.1152/ajpheart.01042.2011. PubMed PMID: 22287585. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22287585.

    19. Kolli KK, Banerjee RK, Peelukhana SV, Effat MA, Leesar MA, Arif I, Schneeberger EW, Succop P, Gottliebson WM, Helmy TA. Effect of changes in contractility on pressure drop coefficient and fractional flow reserve in a porcine model. The Journal of invasive cardiology. 2012;24(1):6-12. PubMed PMID: 22210582. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22210582.

    20. Rajabi-Jaghargh E, Kolli KK, Back LH, Banerjee RK. Effect of guidewire on contribution of loss due to momentum change and viscous loss to the translesional pressure drop across coronary artery stenosis: an analytical approach. Biomedical engineering online. 2011;10:51. doi: 10.1186/1475-925X-10-51. PubMed PMID: 21658283; PMCID: 3141581. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21658283.

    21. Kolli KK, Banerjee RK, Peelukhana SV, Helmy TA, Leesar MA, Arif I, Schneeberger EW, Hand D, Succop P, Gottliebson WM, Effat MA. Influence of heart rate on fractional flow reserve, pressure drop coefficient, and lesion flow coefficient for epicardial coronary stenosis in a porcine model. American journal of physiology Heart and circulatory physiology. 2011;300(1):H382-7. doi: 10.1152/ajpheart.00412.2010. PubMed PMID: 20935151. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20935151.


    More Info.
    Yong He
    Deputy Director
    Key Lab of 3D Printing of ZheJiang Province
    ZheJiang University
    China
    yonghe@zju.edu.cn
    ABSE

    Research Interest:  Cell Printing, Now, he is especially interested in the novel cell printing method. With the different own designed cell printers, the project about how to printing vessels and the organ at the same time is underway. Organ on a chip, Now, he is especially interested in designing new method to 3D printing microfluidic chips which can be used in cell culture and the prototype of organ

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    Qingjun Liu
    Department of Biomedical Engineering
    Zhejiang University
    China
    qjliu@zju.edu.cn
    ABSE

    Research Interest:  His research interests concentrate on the biosensors (e.g. living cell sensor, DNA sensor and protein sensor) and BioMEMS system.

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    Xiaoming Li
    Assistant Professor
    School of Biological Science and Medical Engineering
    Beihang University
    China
    x.m.li@hotmail.com
    ABSE

    Research Interest:  Designing and preparing new nanobiomaterials Characterizing physical and chemical properties, biocompatibility and bioactivity of the nanobiomaterials

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    Vincenzo Guarino
    Research scientist
    Institute of Italy Polymer
    National Research Council,
    Italy
    vguarino@unina.it
    ABSE

    Research Interest: Scaffold Design For Tissue Engineering, Composites hydrogels For Bone Repair, Electrospinning and Electrospraying technology, Scanning and Trasmission Electron Microscopy, Image Analysis For Porosity Measurements, Chemical And Physical Properties Characterization Of Composite And/Or Polymeric Substrates, Injectable Composite Cements For Bone Cavity Filling.

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    Joseph An-Cheng Shiau
    Department of Medical Physics
    Taiwan
    shiau158@ms22.hinet.net
    ABSE

    Research Interest: Medical Physics, Health physics, Radiation detection, Technique of Radiation Therapy, Treatment Planning in Radiation Therapy.

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    Corrado Cescon
    Polytechnic University of Turin
    Italy
    corrado.cescon@supsi.ch
    ABSE

    Research Interest: Electromyography, muscle fatigue, motor units, innervation zone, anal sphincter, MMG, biofeedback, cervical kinematics, helical axis

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    Jian Ye
    Associate Professor
    School of Biomedical Engineering
    Shanghai Jiao Tong University
    China
    yejian78@sjtu.edu.cn
    ABSE

    Research Interest: Design, fabrication, and optical properties of nanomaterials,- Biomedical applications (biosensing, bioimaging, therapy) of nanomaterials ,- Surface-enhanced Raman scattering and related biomedical applications

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    Kang Wei
    Department of Biomedical Engineering
    Ohio State University
    USA
    wei.179@osu.edu
    ABSE

    Research Interest: Biophotonics, BioMEMS, Optofluidics, Surface Wettability, Drug Delivery

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    DOI Logo 10.17352/abse.000031

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