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RISS 인기검색어
- 검색키워드
- 저자 : Hoshiar, Ali Kafash (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
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Hoshiar, Ali Kafash,Le, Tuan-Anh,Amin, Faiz Ul,Kim, Myeong Ok,Yoon, Jungwon Elsevier 2017 Journal of magnetism and magnetic materials Vol.427 No.-
<P><B>Abstract</B></P> <P>Magnetic-guided targeted drug delivery (TDD) systems can enhance the treatment of diverse diseases. Despite the potential and promising results of nanoparticles, aggregation prevents precise particle guidance in the vasculature. In this study, we developed a simulation platform to investigate aggregation during steering of nanoparticles using a magnetic field function. The magnetic field function (MFF) comprises a positive and negative pulsed magnetic field generated by electromagnetic coils, which prevents adherence of particles to the vessel wall during magnetic guidance. A commonly used Y-shaped vessel was simulated and the performance of the MFF analyzed; the experimental data were in agreement with the simulation results. Moreover, the effects of various parameters on magnetic guidance were evaluated and the most influential identified. The simulation results presented herein will facilitate more precise guidance of nanoparticles in vivo.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We developed a simulation platform to investigate aggregation of nanoparticles. </LI> <LI> The influential parameters for magnetic steering of a Y-shaped vessel were identified. </LI> <LI> The proposed platform will facilitate more precise guidance of nanoparticles in vivo. </LI> </UL> </P>
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Jeon, Sungwoong,Hoshiar, Ali Kafash,Kim, Kangho,Lee, Seungmin,Kim, Eunhee,Lee, Sunkey,Kim, Jin-young,Nelson, Bradley J.,Cha, Hyo-Jeong,Yi, Byung-Ju,Choi, Hongsoo Mary Ann Liebert, Inc., publishers 2018 Soft robotics Vol.2018 No.-
<P><B>Abstract</B></P><P>Magnetically actuated soft robots may improve the treatment of disseminated intravascular coagulation. Significant progress has been made in the development of soft robotic systems that steer catheters. A more challenging task, however, is the development of systems that steer sub-millimeter-diameter guidewires during intravascular treatments; a novel microrobotic approach is required for steering. In this article, we develop a novel, magnetically actuated, soft microrobotic system, increasing the steerability of a conventional guidewire. The soft microrobot is attached to the tip of the guidewire, and it is magnetically steered by changing the direction and intensity of an external magnetic field. The microrobot is fabricated via replica molding and features a soft body made of polydimethylsiloxane, two permanent magnets, and a microspring. We developed a mathematical model mapping deformation of the soft microrobot using a feed-forward approach toward steering. Then, we used the model to steer a guidewire. The angulation of the microrobot can be controlled from 21.1° to 132.7° by using a magnetic field of an intensity of 15 mT. Steerability was confirmed by two-dimensional <I>in vitro</I> tracking. Finally, a guidewire with the soft microrobot was tested by using a three-dimensional (3D) phantom of the coronary artery to verify steerability in 3D space.</P>
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Sensitivity Analysis in 3D Manipulation of Biological Nanoparticles
Korayem, M. H.,Hoshiar, A. K.,Kim, M. O.,Yoon, J. American Scientific Publishers 2017 Journal of Nanoscience and Nanotechnology Vol.17 No.8
<P>Computer simulations to predict the motion of nanoparticles had been developed for Atomic Force Microscopy (AFM) based robots. The proposed model includes a system of coupled nonlinear equations which determine the system dynamics. As biological nanoparticles are fragile by nature, it is important to apply the exact amount of pressure during manipulation process. Therefore, the sensitivity analysis simulation has been performed to study the effects of inflectional parameters. Using derivative sensitivity analysis, the effects of geometrical (particle and cantilever shapes), process (user defined) and environmental parameters have been investigated and the most influential parameters have been introduced. The simulations provide a real-time platform and make the biological nanoparticles positioning more practical.</P>
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Zhang, Xingming,Le, Tuan-Anh,Hoshiar, Ali Kafash,Yoon, Jungwon IEEE 2018 IEEE/ASME transactions on mechatronics Vol.23 No.4
<P>Magnetic nanoparticles (MNPs) are a promising candidate for use as carriers in drug delivery systems. A navigation system with real-time actuation and monitoring of MNPs is inevitably required for more precise targeting and diagnosis. In this paper, we propose a novel electromagnetic navigation system with a coil combined with a soft magnetic core. This system can be used for magnetic particle imaging (MPI) and electromagnetic actuator functions with a higher steering force and enhanced monitoring resolution. A soft magnetic core with coils can increase the magnetic gradient field. However, this also generates harmonic noise, which makes it difficult to acquire MNP monitoring signals with MPI. Therefore, the use of amplitude modulation magnetic particle imaging (AM MPI) is suggested. AM MPI uses a low-amplitude excitation field combined with a low-frequency drive field. Using this system, the measured signal becomes less sensitive to the soft magnetic core. Based on the new MPI scheme and the combination of the coil with the magnetic cores, the proposed navigation system can implement one-dimensional (1-D) MNP navigation and 2-D MPI. The proposed navigation system can shorten the 1-D guidance time by about 25% for MNPs in the size range of 45–60 nm and give an improved 2-D imaging resolution of 43%, compared with an air-coil structure.</P>
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M. H. Korayem,S. Nosoudi,S. Khazaei Far,A. K. Hoshiar 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.2
Nanomanipulation plays a significant role in nanotechnology research. The process of Atomic force microscopy (AFM) based manipulation is complex and time-consuming, which can be improved using a path-planning algorithm to reduce its manipulation time and time complexity. Due to real-time monitoring limitation in AFM based manipulations, Virtual reality (VR) environments have been developed. One such developed VR environment, however, is limited to point to point manipulation and lacks any path information. Therefore, we propose using a hybrid Improved particle swarm optimization (IPSO), a cellular automata-based algorithm for path planning during manipulation of micro/nanoparticles. In this technique, the critical time-force diagram, representing the AFM based manipulation dynamic is considered as a constraint, and is subsequently used to find the best path. The main path is divided into several segments and is optimized. Used as an algorithm for manipulation, this technique provides a more precise path in the AFM-based manipulation. Finally, the ability of this technique was compared to the other path planner algorithms based on its efficiency in reducing time-complexity parameters.
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