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Journal articles on the topic 'Particle manipulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Teng, Q. Z., Xian Zhou Zhang, Wei Hua Li, Da Feng Chen, and He Jun Du. "A Planar Dielectrophoretic Microdevice for Particle Manipulation." Advanced Materials Research 47-50 (June 2008): 153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.47-50.153.

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This paper presents both theoretical and experimental study of particle motion in a typical interdigitated electrode array. Both finite element method and numerical simulation were performed to predict the movement of particles. The simulation results indicated that the particle motion and separation behaviors strongly depend on the combined contributions of a number of parameters, such as the frequency of the electric field, applied voltage, dielectric properties of the particles and the surrounding medium.

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2

Xuan, Xiangchun. "Recent Advances in Continuous-Flow Particle Manipulations Using Magnetic Fluids." Micromachines 10, no. 11 (2019): 744. http://dx.doi.org/10.3390/mi10110744.

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Magnetic field-induced particle manipulation is simple and economic as compared to other techniques (e.g., electric, acoustic, and optical) for lab-on-a-chip applications. However, traditional magnetic controls require the particles to be manipulated being magnetizable, which renders it necessary to magnetically label particles that are almost exclusively diamagnetic in nature. In the past decade, magnetic fluids including paramagnetic solutions and ferrofluids have been increasingly used in microfluidic devices to implement label-free manipulations of various types of particles (both synthetic and biological). We review herein the recent advances in this field with focus upon the continuous-flow particle manipulations. Specifically, we review the reported studies on the negative magnetophoresis-induced deflection, focusing, enrichment, separation, and medium exchange of diamagnetic particles in the continuous flow of magnetic fluids through microchannels.

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3

Kale, Akshay, Amirreza Malekanfard, and Xiangchun Xuan. "Analytical Guidelines for Designing Curvature-Induced Dielectrophoretic Particle Manipulation Systems." Micromachines 11, no. 7 (2020): 707. http://dx.doi.org/10.3390/mi11070707.

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Curvature-induced dielectrophoresis (C-iDEP) is an established method of applying electrical energy gradients across curved microchannels to obtain a label-free manipulation of particles and cells. This method offers several advantages over the other DEP-based methods, such as increased chip area utilisation, simple fabrication, reduced susceptibility to Joule heating and reduced risk of electrolysis in the active region. Although C-iDEP systems have been extensively demonstrated to achieve focusing and separation of particles, a detailed mathematical analysis of the particle dynamics has not been reported yet. This work computationally confirms a fully analytical dimensionless study of the electric field-induced particle motion inside a circular arc microchannel, the simplest design of a C-iDEP system. Specifically, the analysis reveals that the design of a circular arc microchannel geometry for manipulating particles using an applied voltage is fully determined by three dimensionless parameters. Simple equations are established and numerically confirmed to predict the mutual relationships of the parameters for a comprehensive range of their practically relevant values, while ensuring design for safety. This work aims to serve as a starting point for microfluidics engineers and researchers to have a simple calculator-based guideline to develop C-iDEP particle manipulation systems specific to their applications.

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4

Shenoy, Anish, Christopher V. Rao, and Charles M. Schroeder. "Stokes trap for multiplexed particle manipulation and assembly using fluidics." Proceedings of the National Academy of Sciences 113, no. 15 (2016): 3976–81. http://dx.doi.org/10.1073/pnas.1525162113.

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The ability to confine and manipulate single particles and molecules has revolutionized several fields of science. Hydrodynamic trapping offers an attractive method for particle manipulation in free solution without the need for optical, electric, acoustic, or magnetic fields. Here, we develop and demonstrate the Stokes trap, which is a new method for trapping multiple particles using only fluid flow. We demonstrate simultaneous manipulation of two particles in a simple microfluidic device using model predictive control. We further show that this approach can be used for fluidic-directed assembly of multiple particles in solution. Overall, this technique opens new vistas for fundamental studies of particle–particle interactions and provides a new method for the directed assembly of colloidal particles.

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5

Canali, C., C. Carraro, L. Di Noto, et al. "Particle manipulation techniques in AEgIS." Hyperfine Interactions 199, no. 1-3 (2011): 49–57. http://dx.doi.org/10.1007/s10751-011-0300-1.

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6

Qu, Yan Li, Mei Juan Zheng, Wen Feng Liang, and Zai Li Dong. "Fully Automatic Wafer-Scale Micro/Nano Manipulation Based on Optically Induced Dielectrophoresis." Advanced Materials Research 415-417 (December 2011): 842–47. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.842.

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Optically induced dielectrophoresis (ODEP) has been proved experimentally as a powerful method for efficiently manipulating some micro-scale, or even nano-scale objects. However, few ODEP platforms have been demonstrated towards the fully automatic wafer-scale manipulation and rapid fabrication of micro and nano sensors and devices. That would be of great significance to the application and industrialization of micro and nano materials. In this paper, an innovative ODEP platform for reconfigurable and automatic micro/nano-scale material manipulation is presented by combining microactuation and microvision analysis with ODEP technology. The ODEP chip consists of a typical photoconductive layer of amorphous silicon, which generates a nonuniform electric field at the light-illuminated region to induce dielectrophoretic (DEP) force for manipulating particles within the chip. A high resolution 3D motorized stage enables an accurate and rapid movement of the chip in wafer-scale. The microvision analysis program automatically recognizes the positions and sizes of randomly distributed particles and creates direct image patterns to manipulate the selected particles to form a predetermined pattern in predesired position. The programmed dynamic reconfigurable optical patterns provide increased functionality and versatility in particle manipulation. The patterning of polystyrene beads with different sizes is accomplished. This platform may be promising for rapid and wafer-scale fabrication of micro and nano sensors and devices, high-throughput bio-sample pretreatment and other applications requiring massively parallel manipulation.

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7

He, Yongqing, Laan Luo, and Shuang Huang. "Magnetic manipulation on the unlabeled nonmagnetic particles." International Journal of Modern Physics B 33, no. 07 (2019): 1950047. http://dx.doi.org/10.1142/s0217979219500474.

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This paper reports two basic microfluidic strategies for the magnetic manipulation of unlabeled nonmagnetic particles/cells. One is the deflection induced by a single magnet, and the other is the confusing effect produced by two magnets of opposite polarity. They can be combined into more completed particle manipulations like continuous flow separation, counting and detection, which are essential steps in biomedical applications. We experimentally studied the dynamics of 10.4 and 20 [Formula: see text]m nonmagnetic polystyrene particles within a flow rate range of 30, 50, 70 and 90 [Formula: see text]L/min in a straight channel. We defined the cross-section length that the particles occupy as the “particle bandwidth” to characterize the extent of deflection and focusing. To predict the trajectories of the particles, we established a simple theoretical model by considering the magnetic force and viscous drag force. Compared with the experimental results, the maximum deviation of the simulation is 9.28%. The influences of magnetic nanoparticle concentration, magnetic field parameters, size of microparticles and flow rate are systematically investigated. We also demonstrated that the effective deflection and focusing could be realized at low Fe3O4 nanoparticle concentrations, which means that this method can reduce the damage on cells in the practical applications.

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8

Ma, Jun, Dongfang Liang, Xin Yang, et al. "Numerical study of acoustophoretic manipulation of particles in microfluidic channels." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 235, no. 10 (2021): 1163–74. http://dx.doi.org/10.1177/09544119211024775.

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The microfluidic technology based on surface acoustic waves (SAW) has been developing rapidly, as it can precisely manipulate fluid flow and particle motion at microscales. We hereby present a numerical study of the transient motion of suspended particles in a microchannel. In conventional studies, only the microchannel’s bottom surface generates SAW and only the final positions of the particles are analyzed. In our study, the microchannel is sandwiched by two identical SAW transducers at both the bottom and top surfaces while the channel’s sidewalls are made of poly-dimethylsiloxane (PDMS). Based on the perturbation theory, the suspended particles are subject to two types of forces, namely the Acoustic Radiation Force (ARF) and the Stokes Drag Force (SDF), which correspond to the first-order acoustic field and the second-order streaming field, respectively. We use the Finite Element Method (FEM) to compute the fluid responses and particle trajectories. Our numerical model is shown to be accurate by verifying against previous experimental and numerical results. We have determined the threshold particle size that divides the SDF-dominated regime and the ARF-dominated regime. By examining the time scale of the particle movement, we provide guidelines on the device design and operation.

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9

Yang, Ye, Teng Ma, Sinan Li, et al. "Self-Navigated 3D Acoustic Tweezers in Complex Media Based on Time Reversal." Research 2021 (January 4, 2021): 1–13. http://dx.doi.org/10.34133/2021/9781394.

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Acoustic tweezers have great application prospects because they allow noncontact and noninvasive manipulation of microparticles in a wide range of media. However, the nontransparency and heterogeneity of media in practical applications complicate particle trapping and manipulation. In this study, we designed a 1.04 MHz 256-element 2D matrix array for 3D acoustic tweezers to guide and monitor the entire process using real-time 3D ultrasonic images, thereby enabling acoustic manipulation in nontransparent media. Furthermore, we successfully performed dynamic 3D manipulations on multiple microparticles using multifoci and vortex traps. We achieved 3D particle manipulation in heterogeneous media (through resin baffle and ex vivo macaque and human skulls) by introducing a method based on the time reversal principle to correct the phase and amplitude distortions of the acoustic waves. Our results suggest cutting-edge applications of acoustic tweezers such as acoustical drug delivery, controlled micromachine transfer, and precise treatment.

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10

Andrade, Marco A. B., Flávio Buiochi, and Julio C. Adamowski. "Particle manipulation by ultrasonic progressive waves." Physics Procedia 3, no. 1 (2010): 283–88. http://dx.doi.org/10.1016/j.phpro.2010.01.038.

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11

Dodin, I. Y., and N. J. Fisch. "Particle manipulation with nonadiabatic ponderomotive forces." Physics of Plasmas 14, no. 5 (2007): 055901. http://dx.doi.org/10.1063/1.2436149.

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12

Tenje, Maria, Anna Fornell, Mathias Ohlin, and Johan Nilsson. "Particle Manipulation Methods in Droplet Microfluidics." Analytical Chemistry 90, no. 3 (2017): 1434–43. http://dx.doi.org/10.1021/acs.analchem.7b01333.

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13

Soo Lee, Kang, Kyung Heon Lee, Sang Bok Kim, et al. "Refractive-index-based optofluidic particle manipulation." Applied Physics Letters 103, no. 7 (2013): 073701. http://dx.doi.org/10.1063/1.4817938.

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14

Maser, Jaykob, and Joshua Rovey. "Asymmetric semiconductor nanostructures for particle manipulation." AIP Advances 10, no. 9 (2020): 095129. http://dx.doi.org/10.1063/1.5131658.

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15

Tay, Francis, Liming Yu, and Ciprian Iliescu. "Particle Manipulation by Miniaturised Dielectrophoretic Devices." Defence Science Journal 59, no. 6 (2009): 595–604. http://dx.doi.org/10.14429/dsj.59.1564.

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16

Çetin, Barbaros, Mehmet Bülent Özer, and Mehmet Ertuğrul Solmaz. "Microfluidic bio-particle manipulation for biotechnology." Biochemical Engineering Journal 92 (November 2014): 63–82. http://dx.doi.org/10.1016/j.bej.2014.07.013.

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17

Li, Junfei, Chen Shen, Tony Jun Huang, and Steven A. Cummer. "Acoustic tweezer with complex boundary-free trapping and transport channel controlled by shadow waveguides." Science Advances 7, no. 34 (2021): eabi5502. http://dx.doi.org/10.1126/sciadv.abi5502.

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Acoustic tweezers use ultrasound for contact-free, bio-compatible, and precise manipulation of particles from millimeter to submicrometer scale. In microfluidics, acoustic tweezers typically use an array of sources to create standing wave patterns that can trap and move objects in ways constrained by the limited complexity of the acoustic wave field. Here, we demonstrate spatially complex particle trapping and manipulation inside a boundary-free chamber using a single pair of sources and an engineered structure outside the chamber that we call a shadow waveguide. The shadow waveguide creates a tightly confined, spatially complex acoustic field inside the chamber without requiring any interior structure that would interfere with net flow or transport. Altering the input signals to the two sources creates trapped particle motion along an arbitrary path defined by the shadow waveguide. Particle trapping, particle manipulation and transport, and Thouless pumping are experimentally demonstrated.

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18

Baudoin, M., and J. L. Thomas. "Acoustic Tweezers for Particle and Fluid Micromanipulation." Annual Review of Fluid Mechanics 52, no. 1 (2020): 205–34. http://dx.doi.org/10.1146/annurev-fluid-010719-060154.

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Acoustic tweezers powerfully enable the contactless collective or selective manipulation of microscopic objects. Trapping is achieved without pretagging, with forces several orders of magnitude larger than optical tweezers at the same input power, limiting spurious heating and enabling damage-free displacement and orientation of biological samples. In addition, the availability of acoustical coherent sources from kilo- to gigahertz frequencies enables the manipulation of a wide spectrum of particle sizes. After an introduction of the key physical concepts behind fluid and particle manipulation with acoustic radiation pressure and acoustic streaming, we highlight the emergence of specific wave fields, called acoustical vortices, as a means to manipulate particles selectively and in three dimensions with one-sided tweezers. These acoustic vortices can also be used to generate hydrodynamic vortices whose topology is controlled by the topology of the wave. We conclude with an outlook on the field's future directions.

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19

Korayem, Moharam H., Hedieh Badkoobeh Hezaveh, and Moein Taheri. "Dynamic Modeling and Simulation of Rough Cylindrical Micro/Nanoparticle Manipulation with Atomic Force Microscopy." Microscopy and Microanalysis 20, no. 6 (2014): 1692–707. http://dx.doi.org/10.1017/s1431927614013233.

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AbstractIn this paper, the process of pushing rough cylindrical micro/nanoparticles on a surface with an atomic force microscope (AFM) probe is investigated. For this purpose, the mechanics of contact involving adhesion are studied first. Then, a method is presented for estimating the real area of contact between a rough cylindrical particle (whose surface roughness is described by the Rumpf and Rabinovich models) and a smooth surface. A dynamic model is then obtained for the pushing of rough cylindrical particles on a surface with an AFM probe. Afterwards, the process is simulated for different particle sizes and various roughness dimensions. Finally, by reducing the length of the cylindrical particle, the simulation condition is brought closer to the manipulation condition of a smooth spherical particle on a rough substrate, and the simulation results of the two cases are compared. Based on the simulation results, the critical force and time of manipulation diminish for rough particles relative to smooth ones. Reduction in the aspect ratio at a constant cross-section radius and the radius of asperities (height of asperities based on the Rabinovich model) results in an increase in critical force and time of manipulation.

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20

Pritchet, David, Kornel Ehmann, Jian Cao, and Jiaxing Huang. "Manipulation and Localized Deposition of Particle Groups with Modulated Electric Fields." Micromachines 11, no. 2 (2020): 226. http://dx.doi.org/10.3390/mi11020226.

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This paper presents a new micro additive manufacturing process and initial characterization of its capabilities. The process uses modulated electric fields to manipulate and deposit particles from colloidal solution in a contactless way and is named electrophoretically-guided micro additive manufacturing (EPμAM). The inherent flexibility and reconfigurability of the EPμAM process stems from electrode array as an actuator use, which avoids common issues of controlling particle deposition with templates or masks (e.g., fixed template geometry, post-process removal of masks, and unstable particle trapping). The EPμAM hardware testbed is presented alongside with implemented control methodology and developed process characterization workflow. Additionally, a streamlined two-dimensional (2D) finite element model (FEM) of the EPμAM process is used to compute electric field distribution generated by the electrode array and to predict the final deposition location of particles. Simple particle manipulation experiments indicate proof-of-principle capabilities of the process. Experiments where particle concentration and electric current strength were varied demonstrate the stability of the process. Advanced manipulation experiments demonstrate interelectrode deposition and particle group shaping capabilities where high, length-to-width, aspect ratio deposits were obtained. The experimental and FEM results were compared and analyzed; observed process limitations are discussed and followed by a comprehensive list of possible future steps.

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21

Panahi, P., MH Korayem, and H. Khaksar. "Manipulation of ellipsoidal nanoparticles considering roughness based on atomic force microscopy." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 233, no. 3 (2019): 763–74. http://dx.doi.org/10.1177/1464419319832495.

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The contribution in this paper is to investigate the manipulation of ellipsoidal nanoparticles by atomic force microscopy, taking into consideration of roughness. For the first phase of manipulation, roughness was investigated just for the substrate, but for the second phase, it begins by particle movement substrate and particle roughness is considered. The particle is of gold material; moreover, tip and substrate are made of silicon. Having examined the effective parameters of the contact mechanics, including the indentation depth and contact area for the Hertz, Jamari and Jeng–Wang models, two Jamari and Jeng–Wang contact models were used to consider the particle–probe contact and the particle–substrate contact respectively. By these two models, the first phase of manipulation process is simulated. At the end of this step, the force and the time, by which the particle starts moving, are detected. The next phase of manipulation begins with particle movement initiation and ends when it reaches the target point, which is called the second phase of manipulation. In order to simulate the second phase of manipulation, the Wilson model is used. Also, due to the fact that no surface is completely smooth and it has roughness that affects the amount of friction force and consequently manipulation relations, in order to bring the results closer to reality, in this article the Rumpf and Rabinovich models are used. In the first phase of manipulation for modelling the substrate roughness, Rumpf and Rabinovich models are used. Moreover, Rumpf model is used for modelling the particle and substrate roughness in the second phase of manipulation. Finally, to validate the results of the manipulation simulation process, they are compared with the results of the existing researches. In the first phase of the manipulation, based on the simulation results, the critical time and force error for the sliding mode were 0.94 and 1.1%, respectively. Meanwhile, the critical time and force error for rotation mode are 1.3 and 1.7%, respectively. For manipulation, taking roughness into account, the critical time and force error for sliding and rotation modes in the first phase of manipulation are about 6%. The error for the second phase, using Wilson model, considering roughness for the particle and the substrate when the particle slides on the substrate is 3.2% as well. As a result, there is a good match between the simulation and the experimental results for both manipulation phases.

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22

Han, Yongjian, Zhen Wang, and Guang-Can Guo. "A new epoch of quantum manipulation." National Science Review 1, no. 1 (2013): 91–100. http://dx.doi.org/10.1093/nsr/nwt024.

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Abstract The behavior of individual microscopic particles, such as an atom (or a photon), predicted using quantum mechanics, is dramatically different from the behavior of classical particles, such as a planet, determined using classical mechanics. How can the counter-intuitive behavior of the microscopic particle be verified and manipulated experimentally? David Wineland and Serge Haroche, who were awarded the Nobel Prize in physics in 2012, developed a set of methods to isolate the ions and photons from their environment to create a genuine quantum system. Furthermore, they also developed methods to measure and manipulate these quantum systems, which open a path not only to explore the fundamental principles of quantum mechanics, but also to develop a much faster computer: a quantum computer.

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23

Liu, Guotian, Junjun Lei, Feng Cheng, et al. "Ultrasonic Particle Manipulation in Glass Capillaries: A Concise Review." Micromachines 12, no. 8 (2021): 876. http://dx.doi.org/10.3390/mi12080876.

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Ultrasonic particle manipulation (UPM), a non-contact and label-free method that uses ultrasonic waves to manipulate micro- or nano-scale particles, has recently gained significant attention in the microfluidics community. Moreover, glass is optically transparent and has dimensional stability, distinct acoustic impedance to water and a high acoustic quality factor, making it an excellent material for constructing chambers for ultrasonic resonators. Over the past several decades, glass capillaries are increasingly designed for a variety of UPMs, e.g., patterning, focusing, trapping and transporting of micron or submicron particles. Herein, we review established and emerging glass capillary-transducer devices, describing their underlying mechanisms of operation, with special emphasis on the application of glass capillaries with fluid channels of various cross-sections (i.e., rectangular, square and circular) on UPM. We believe that this review will provide a superior guidance for the design of glass capillary-based UPM devices for acoustic tweezers-based research.

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24

Devendran, Citsabehsan, Duncan R. Billson, David A. Hutchins, Tuncay Alan, and Adrian Neild. "Acoustic Resonator Optimisation for Airborne Particle Manipulation." Physics Procedia 70 (2015): 6–9. http://dx.doi.org/10.1016/j.phpro.2015.08.002.

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25

Egashira, Mitsuru, Takeshi Konno, and Norio Shinya. "Powder Particle Manipulation and Assemblage Using Microprobe." Journal of Intelligent Material Systems and Structures 7, no. 3 (1996): 267–71. http://dx.doi.org/10.1177/1045389x9600700305.

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26

Kawamoto, Hiroyuki, and Kenji Yashiro. "833 Manipulation of Particle Utilizing Electromagnetic Force." Proceedings of the Dynamics & Design Conference 2007 (2007): _833–1_—_833–6_. http://dx.doi.org/10.1299/jsmedmc.2007._833-1_.

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27

Walker, Robert, Ian Gralinski, Kok Keong Lay, Tuncay Alan, and Adrian Neild. "Particle manipulation using an ultrasonic micro-gripper." Applied Physics Letters 101, no. 16 (2012): 163504. http://dx.doi.org/10.1063/1.4759127.

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28

Dalir, Hamid, Yasuko Yanagida, and Takeshi Hatsuzawa. "Multipolar Electrical Forces for Microscale Particle Manipulation." Journal of Computational and Theoretical Nanoscience 6, no. 3 (2009): 505–13. http://dx.doi.org/10.1166/jctn.2009.1061.

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29

Ding, Weiqiang. "Micro/Nano-particle Manipulation and Adhesion Studies." Journal of Adhesion Science and Technology 22, no. 5-6 (2008): 457–80. http://dx.doi.org/10.1163/156856108x295563.

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30

Vehring, R., C. L. Aardahl, E. J. Davis, G. Schweiger, and D. S. Covert. "Electrodynamic trapping and manipulation of particle clouds." Review of Scientific Instruments 68, no. 1 (1997): 70–78. http://dx.doi.org/10.1063/1.1147682.

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31

Hilgenfeldt, Sascha, Bhargav Rallabandi, Siddhansh Agarwal, and David Raju. "Beyond acoustophoresis: Particle manipulation near oscillating interfaces." Journal of the Acoustical Society of America 141, no. 5 (2017): 3463. http://dx.doi.org/10.1121/1.4987189.

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32

Shvedov, Vladlen G., Cyril Hnatovsky, Natalia Shostka, Andrei V. Rode, and Wieslaw Krolikowski. "Optical manipulation of particle ensembles in air." Optics Letters 37, no. 11 (2012): 1934. http://dx.doi.org/10.1364/ol.37.001934.

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33

Tamburello, D. A., and M. Amitay. "Active manipulation of a particle-laden jet." International Journal of Multiphase Flow 34, no. 9 (2008): 829–51. http://dx.doi.org/10.1016/j.ijmultiphaseflow.2008.02.006.

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Kumar, Dinesh, Anish Shenoy, Jonathan Deutsch, and Charles M. Schroeder. "Automation and flow control for particle manipulation." Current Opinion in Chemical Engineering 29 (September 2020): 1–8. http://dx.doi.org/10.1016/j.coche.2020.02.006.

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35

Tornay, Raphaël, Thomas Braschler, Nicolas Demierre, et al. "Dielectrophoresis-based particle exchanger for the manipulation and surface functionalization of particles." Lab Chip 8, no. 2 (2008): 267–73. http://dx.doi.org/10.1039/b713776a.

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Vieira, Gregory Butler, Eliza Howard, Dung Hoang, Ryan Simms, David Alden Raymond, and Edward Thomas Cullom. "Short- and Long-Range Microparticle Transport on Permalloy Disk Arrays in Time-Varying Magnetic Fields." Magnetochemistry 7, no. 8 (2021): 120. http://dx.doi.org/10.3390/magnetochemistry7080120.

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We investigate maneuvering superparamagnetic microparticles, or beads, in a remotely-controlled, automated way across arrays of few-micron-diameter permalloy disks. This technique is potentially useful for applying tunable forces to or for sorting biological structures that can be attached to magnetic beads, for example nucleic acids, proteins, or cells. The particle manipulation method being investigated relies on a combination of stray fields emanating from permalloy disks as well as time-varying externally applied magnetic fields. Unlike previous work, we closely examine particle motion during a capture, rotate, and controlled repulsion mechanism for particle transport. We measure particle velocities during short-range motion—the controlled repulsion of a bead from one disk toward another—and compare this motion to a simulation based on stray fields from disk edges. We also observe the phase-slipping and phase-locked motion of particles engaging in long-range transport in this manipulation scheme.

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37

Zhang, Qing, and Kai Zhang. "Iterative Dipole Moment Method for the Dielectrophoretic Particle-Particle Interaction in a DC Electric Field." Journal of Nanotechnology 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/3539075.

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Electric force is the most popular technique for bioparticle transportation and manipulation in microfluidic systems. In this paper, the iterative dipole moment (IDM) method was used to calculate the dielectrophoretic (DEP) forces of particle-particle interactions in a two-dimensional DC electric field, and the Lagrangian method was used to solve the transportation of particles. It was found that the DEP properties and whether the connection line between initial positions of particles perpendicular or parallel to the electric field greatly affect the chain patterns. In addition, the dependence of the DEP particle interaction upon the particle diameters, initial particle positions, and the DEP properties have been studied in detail. The conclusions are advantageous in elelctrokinetic microfluidic systems where it may be desirable to control, manipulate, and assemble bioparticles.

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38

Hang, Kaiyu, Walter G. Bircher, Andrew S. Morgan, and Aaron M. Dollar. "Hand–object configuration estimation using particle filters for dexterous in-hand manipulation." International Journal of Robotics Research 39, no. 14 (2019): 1760–74. http://dx.doi.org/10.1177/0278364919883343.

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We consider the problem of in-hand dexterous manipulation with a focus on unknown or uncertain hand–object parameters, such as hand configuration, object pose within hand, and contact positions. In particular, in this work we formulate a generic framework for hand–object configuration estimation using underactuated hands as an example. Owing to the passive reconfigurability and the lack of encoders in the hand’s joints, it is challenging to estimate, plan, and actively control underactuated manipulation. By modeling the grasp constraints, we present a particle filter-based framework to estimate the hand configuration. Specifically, given an arbitrary grasp, we start by sampling a set of hand configuration hypotheses and then randomly manipulate the object within the hand. While observing the object’s movements as evidence using an external camera, which is not necessarily calibrated with the hand frame, our estimator calculates the likelihood of each hypothesis to iteratively estimate the hand configuration. Once converged, the estimator is used to track the hand configuration in real time for future manipulations. Thereafter, we develop an algorithm to precisely plan and control the underactuated manipulation to move the grasped object to desired poses. In contrast to most other dexterous manipulation approaches, our framework does not require any tactile sensing or joint encoders, and can directly operate on any novel objects, without requiring a model of the object a priori. We implemented our framework on both the Yale Model O hand and the Yale T42 hand. The results show that the estimation is accurate for different objects, and that the framework can be easily adapted across different underactuated hand models. In the end, we evaluated our planning and control algorithm with handwriting tasks, and demonstrated the effectiveness of the proposed framework.

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39

Gao, Yuan, Ross Harder, Stephen H. Southworth, et al. "Three-dimensional optical trapping and orientation of microparticles for coherent X-ray diffraction imaging." Proceedings of the National Academy of Sciences 116, no. 10 (2019): 4018–24. http://dx.doi.org/10.1073/pnas.1720785116.

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Optical trapping has been implemented in many areas of physics and biology as a noncontact sample manipulation technique to study the structure and dynamics of nano- and mesoscale objects. It provides a unique approach for manipulating microscopic objects without inducing undesired changes in structure. Combining optical trapping with hard X-ray microscopy techniques, such as coherent diffraction imaging and crystallography, provides a nonperturbing environment where electronic and structural dynamics of an individual particle in solution can be followed in situ. It was previously shown that optical trapping allows the manipulation of micrometer-sized objects for X-ray fluorescence imaging. However, questions remain over the ability of optical trapping to position objects for X-ray diffraction measurements, which have stringent requirements for angular stability. Our work demonstrates that dynamic holographic optical tweezers are capable of manipulating single micrometer-scale anisotropic particles in a microfluidic environment with the precision and stability required for X-ray Bragg diffraction experiments—thus functioning as an “optical goniometer.” The methodology can be extended to a variety of X-ray experiments and the Bragg coherent diffractive imaging of individual particles in solution, as demonstrated here, will be markedly enhanced with the advent of brighter, coherent X-ray sources.

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Paiè, Petra, Tommaso Zandrini, Rebeca Vázquez, Roberto Osellame, and Francesca Bragheri. "Particle Manipulation by Optical Forces in Microfluidic Devices." Micromachines 9, no. 5 (2018): 200. http://dx.doi.org/10.3390/mi9050200.

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MISAWA, HIROAKI. "Toward Microphotoconversion. Laser Manipulation of a Fine Particle." Review of Laser Engineering 19, no. 5 (1991): 433–39. http://dx.doi.org/10.2184/lsj.19.5_433.

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Malyan, B., and W. Balachandran. "Sub-micron sized biological particle manipulation and characterisation." Journal of Electrostatics 51-52 (May 2001): 15–19. http://dx.doi.org/10.1016/s0304-3886(01)00056-0.

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Dual, Jurg, and Thomas Schwarz. "Acoustofluidics 3: Continuum mechanics for ultrasonic particle manipulation." Lab Chip 12, no. 2 (2012): 244–52. http://dx.doi.org/10.1039/c1lc20837c.

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Renn, Michael J. "Particle manipulation and surface patterning by laser guidance." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 16, no. 6 (1998): 3859. http://dx.doi.org/10.1116/1.590424.

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Andrade, Marco A. B., Nicolás Pérez, and Julio C. Adamowski. "Particle manipulation by a non-resonant acoustic levitator." Applied Physics Letters 106, no. 1 (2015): 014101. http://dx.doi.org/10.1063/1.4905130.

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Li, Nan, Akshay Kale, and Adrian C. Stevenson. "Axial acoustic field barrier for fluidic particle manipulation." Applied Physics Letters 114, no. 1 (2019): 013702. http://dx.doi.org/10.1063/1.5052009.

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Grinenko, A., C. K. Ong, C. R. P. Courtney, P. D. Wilcox, and B. W. Drinkwater. "Efficient counter-propagating wave acoustic micro-particle manipulation." Applied Physics Letters 101, no. 23 (2012): 233501. http://dx.doi.org/10.1063/1.4769092.

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Gu, Yuyang, Chuyi Chen, Joseph Rufo, et al. "Acoustofluidic Holography for Micro- to Nanoscale Particle Manipulation." ACS Nano 14, no. 11 (2020): 14635–45. http://dx.doi.org/10.1021/acsnano.0c03754.

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Velev, Orlin D., Sumit Gangwal, and Dimiter N. Petsev. "Particle-localized AC and DC manipulation and electrokinetics." Annual Reports Section "C" (Physical Chemistry) 105 (2009): 213. http://dx.doi.org/10.1039/b803015b.

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Scott, T. C., R. A. Moore, and M. B. Monagan. "Resolution of many particle electrodynamics by symbolic manipulation." Computer Physics Communications 52, no. 2 (1989): 261–81. http://dx.doi.org/10.1016/0010-4655(89)90009-x.

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