[1] Chang Yan, Zhu Xiaolu, Ni Zhonghua,. Path planning for light-induced dielectrophoreticmanipulation of micro-particles [J]. Journal of Southeast University (English Edition), 2011, 27 (4): 388-393. [doi:10.3969/j.issn.1003-7985.2011.04.009]
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Path planning for light-induced dielectrophoreticmanipulation of micro-particles(
)
基于光诱导介电泳的微粒子操纵路径规划方法
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 27
- Issue:
- 2011 4
- Page:
- 388-393
- Research Field:
- Automation
- Publishing date:
- 2011-12-31
Info
- Title:
- Path planning for light-induced dielectrophoreticmanipulation of micro-particles
- 基于光诱导介电泳的微粒子操纵路径规划方法
- Author(s):
- Chang Yan; Zhu Xiaolu; Ni Zhonghua
- School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
- Keywords:
- light-induced dielectrophoresis; artificial potential field; guided target; point obstacle
- PACS:
- TP271
- DOI:
- 10.3969/j.issn.1003-7985.2011.04.009
- Abstract:
- To realize automatic manipulation of micro-particles by light-induced dielectrophoresis(LDEP), a path-planning scheme based on the improved artificial potential field(APF)for micro light pattern movements is proposed. An algorithm combining guided target and point obstacle based on a new local minimum judging criterion is specially designed, which can solve the local minimum problems encountered by the traditional APF. Experiments of real-time particle manipulation based on this algorithm are implemented and the experimental results show that the proposed approach can overcome the local minimum problems of the traditional APF method, and it is validated to be highly stable for intensive particle obstacles during LDEP manipulation. Consequently, this method can realize real-time manipulation of micro-nano particles with safety, decrease the difficulty of manual manipulation, and thus improve the efficiency of manipulation of micro-particles.
- 为实现基于光诱导介电泳的微粒子自动化操纵, 设计了基于改进人工势场的缩微光图案路径规划方法.针对传统人工势场的局部极小问题, 给出一种新的局部极小判别准则.在此基础上提出导引目标和点障碍相结合的方法来脱离局部极小点, 并将改进后的人工势场算法集成于基于光诱导介电泳的微纳米生物粒子操纵平台中, 进行微粒子操纵实验.结果表明, 该方法充分发挥了势场法的优势, 对密集障碍环境稳定性强, 能够实现微纳米粒子的安全实时操纵, 从而降低了人工操纵难度, 提高了微操纵效率.
References:
[1] Hughes M P. Strategies for dielectrophoretic separation in laboratory-on-a-chip systems [J]. Electrophoresis, 2002, 23(16):2569-2582.
[2] Chiou P Y, Ohta A T, Wu M C. Massively parallel manipulation of single cells and microparticles using optical images [J]. Nature, 2005, 436(7049):370-372.
[3] Jamshidi A, Neale S L, Yu K, et al. NanoPen: dynamic, low-power, and light-actuated patterning of nanoparticles [J]. Nano Lett, 2009, 9(8):2921-2925.
[4] Song C F, Yi H, Ni Z H. Single micro-particle manipulation based on light-induced dielectrophoresis [J].Journal of Mechanical Engineering, 2010, 46(7): 148-153.
[5] Hwang H, Choi Y J, Choi W, et al. Interactive manipulation of blood cells using a lens-integrated liquid crystal display based optoelectronic tweezers system [J]. Electrophoresis, 2008, 29(6):1203-1212.
[6] Hwang H, Oh Y, Kim J J, et al. Reduction of nonspecific surface-particle interactions in optoelectronic tweezers[J]. Appl Phys Lett, 2008, 92(2): 024108.
[7] Hwang H, Park Y H, Park J K. Optoelectrofluidic control of colloidal assembly in an optically induced electric field [J]. Langmuir, 2009, 25(11):6010-6014.
[8] Ni Z H, Yi H, Zhu S C. Research on critical technology of micro/nano bioparticles manipulation platform based on light-induced dielectrophoresis [J]. Sci China Ser E:Tech Sci, 2009, 39(10): 1635-1642.
[9] Zhu X L, Yi H, Ni Z H.Frequency-dependent behaviors of individual microscopic particles in an optically induced dielectrophoresis device [J]. Biomicrofluidics, 2010, 4(1): 013202.
[10] Zhang Y, Wu C D, Yuan B L. Progress on path planning research for robot [J].Control Engineering of China, 2003, 10(Z1): 152-154.(in Chinese)
[11] Aydin S, Temeltas H. Fuzzy-differential evolution algorithm for planning time-optimal trajectories of a unicycle mobile robot on a predefined path [J]. Adv Robotics, 2004, 18(7):725-748.
[12] Yu J L, Cheng S Y, Sun Z Q. An optimal algorithm of 3D path planning for mobile robots [J]. Journal of Central South University, 2009, 40(2):471-477.
[13] Ali M S A D, Babu N R, Varghese K. Collision free path planning of cooperative crane manipulators using genetic algorithm [J]. J Comput Civil Eng, 2005, 19(2):182-193.
[14] Khatib O. Real-time obstacle avoidance for manipulators and mobile robots [J]. Int J Robot Res, 1986, 5(1):90-98.
[15] de Berg M, Cheong O, van Kreveld M, et al. Computational geometry: algorithms and applications[M]. 3rd Ed. Springer-Verlag, 2008:284-287.
[16] Ge S S, Cui Y J.New potential functions for mobile robot path planning [J]. IEEE Transactions on Robotics and Automation, 2000, 16(5):615-620.
[17] Zhang P Y, Lu T S, Song L B. Soccer robot path planning based on the artificial potential field approach with simulated annealing[J]. Robotica, 2004, 22(5):563-566.
[18] Kuang F, Wang Y N. Robot path planning based on hybrid artificial potential field/genetic algorithm [J]. Journal of System Simulation, 2006, 18(3):774-777.(in Chinese)
[19] Zhu X L, Yin Z F, Gao Z Q. Experimental study on filtering, transporting, concentrating and focusing of microparticles based on optically induced dielectrophoresis [J].Sci China Ser E:Tech Sci, 2010, 53(9): 2388-2396.
[20] Zhu Y, Zhang T, Song J Y. An improved wall following method for escaping from local minimum in artificial potential field based path planning[C]//Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. Shanghai, China, 2009:6017-6022.
Memo
- Memo:
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Biographies: Chang Yan(1986—), male, graduate; Ni Zhonghua(corresponding author), male, doctor, professor, nzh2003@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.91023024, 51175083), Scientific Research Foundation of Graduate School of Southeast University(No.YBJJ1020), Jiangsu Graduate Innovative Research Program(No.CX10B_062Z).
Citation: Chang Yan, Zhu Xiaolu, Ni Zhonghua. Path planning for light-induced dielectrophoretic manipulation of micro-particles[J].Journal of Southeast University(English Edition), 2011, 27(4):388-393.[doi:10.3969/j.issn.1003-7985.2011.04.009]