The positioning of biological cells has become increasingly important in biomedical research such as drug discovery, cell-to-cell interaction, and tissue engineering. Significant demand for both accuracy and productivity in cell manipulation highlights the need for automated cell transportation with integrated robotics and micro/nano-manipulation technologies. Optical tweezers, which use highly focused low-power laser beams to trap and manipulate particles at the micro/nanoscale, can be treated as special robot ‘end-effectors’ to manipulate biological objects in a noninvasive way. In this paper, we propose to use a robot-tweezer manipulation system for automatic transportation of biological cells. A dynamics equation of the cell in an optical trap is analyzed. Closed-loop controllers are designed for positioning single cells as well as multiple cells. A synchronization control technology is utilized for multicell transportation with maintained cell pattern. Experiments are performed on transporting live cells to demonstrate the effectiveness of the proposed approach.
AbbottJJNagyZBeyelerFNelsonBJ (2007) Robotics in the small, part I: microrobotics. IEEE Robotics Automat Mag14: 92–103.
2.
AnisYHHollMPMeldrumDR (2010) Automated selection and placement of single cell using vision-based feedback control. IEEE Trans Automat Sci Eng7: 598–606.
3.
ApplegateRWSquierJVestadTOakeyJMarrDWBadoP. (2006) Microfluidic sorting system based on optical waveguide integration and diode laser bar trapping. Lab on a Chip6: 422–426.
4.
AraiFOndaKIitsukaRMaruyamaH (2009) Multi-beam laser micromanipulation of microtool by integrated optical tweezers. In IEEE International Conference on Robotics and Automation, Kobe, Japan, pp. 12–17.
5.
AraiFYoshikawaKSakamiTFukudaT (2004) Synchronized laser micromanipulation of multiple targets along each trajectory by single laser. Appl Phys Lett85: 4301–4303.
6.
AshkinADziedzicJMBjorkholmJEChuS (1986) Observation of a single-beam gradient force optical trap for dielectric particles. Opt Lett11: 288–290.
BanerjeeAGPomeranceALosertWGuptaSK (2010) Developing a stochastic dynamic programming framework for optical tweezer based automated particle transport operations. IEEE Trans Automat Sci Eng7: 218-227.
9.
BrouhardGJSchekHTHuntAJ (2003) Advanced optical tweezers for the study of cellular and molecular biomechanics. IEEE Trans Biomed Eng50: 121–125.
10.
ChapinSCGermainVDufresueER (2006) Automated trapping, assembly, and sorting with holographic optical tweezers. Opt Express14: 13095–13100.
EI-AliJSorgerPKJensenKF (2006) Cells on chips. Nature442: 403–411.
16.
FlynnRABirkbeckALGrossMOzkanMShaoBWangMW. (2002) Parallel transport of biological cells using individually addressable VCSEL arrays as optical tweezers. Sensors Actuators B87: 239–243.
17.
GauthierRCWallaceS (1995) Optical levitation of spheres: analytical development and numerical computations of the force equations. J Opt Soc Am B12: 1680–1685.
18.
GerdesH-HCarvalhoRN (2008) Intercellular transfer mediated by tunneling nanotubes. Curr Opin Cell Biol20: 470–475.
19.
GittesFSchmidtCF (1998) Signals and noise in micromechanical measurements. Meth Cell Biol55: 129–156.
20.
GreulichKO (1999) Micromanipulation by Light in Biology and Medicine: The Laser Microbeam and Optical Tweezers. Berlin: Birkhäuser.
21.
GroverSCSkirtzchAGGauthierRCGroverCP (2001) Automated single-cell sorting system based on optical trapping. J Biomed Opt6: 14–22.
22.
HarrisJMcConnellG (2008) Optical trapping and manipulation of live T cells with a low numerical aperture lens. Opt Express16: 14036–14043.
23.
HochmuthRM (2000) Micropipette aspiration of living cells. J Biomech33: 15–22.
24.
HuSSunD (2011) Transportation of biological cells with robot-tweezer manipulation system. In IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 5997–6002.
25.
HuSSunDFengG (2010) Dynamics analysis and closed-loop control of biological cells in transportation using robotic manipulation system with optical tweezers. In IEEE Conference on Automation Science and Engineering, Toronto, Canada, pp. 240–245.
26.
HuZWangJLiangJ (2007) Experimental measurement and analysis of the optical trapping force acting on a yeast cell with a lensed optical fiber probe. Opt Laser Technol39: 475–480.
27.
HuangYZhangZMenqCH (2009) Minimum-variance Brownian motion control of an optically trapped probe. Appl Opt48: 5871–5880.
28.
HughesMP (2002) Strategies for dielectrophoretic separation in laboratory-on-a-chip systems. Electrophoresis23: 2569–2582.
29.
HuntTPWesterveltRM (2006) Dielectrophoresis tweezers for single cell manipulation. Biomed Microdevices8: 227–230.
30.
KesslerJO (1985) Hydrodynamic focusing of motile algal cells. Nature313: 218–220.
31.
KojimaNMiuraKMatsuoTNakayamaHKomoriKTakeuchiS. (2010) Rapid and direct cell-to-cell adherence using avid-biotin-binding system: large aggregate formation in suspension culture and small tissue element formation having a precise microstructure using optical tweezers. J Robotics Mechatron22: 619–622.
32.
KremserLBlaasDKenndlerE (2004) Capillary electrophoresis of biological particles: viruses, bacteria, and eukaryotic cells. Electrophoresis25: 2282–2291.
33.
LeeHPurdonAMWesterveltRM (2004) Manipulation of biological cells using a microelectromagnet matrix. Appl Phys Lett85: 1063–1065.
34.
LiGXiNYuMFungW-K (2004) Development of augmented reality system for AFM-based nanomanipulation. IEEE/ASME Trans Mechatron9: 358–365.
35.
LiangHWrightWHBernsMW (1993) Micromanipulation of chromosomes in PTK2 cells using laser microsurgery in combination with laser-induced optical forces. Exp Cell Res204: 110–120.
LosertWPooleCSkupskyR (2005) Investigating gradient sensing in cells through optical micromanipulation. Proc SPIE5699: 281–287.
38.
LuZMoraesCZhaoYYouLSimmonsCASunY (2010) A micromanipulation system for single cell deposition. In IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 494–499.
39.
MaruoSIkutaKKorogiH (2003) Submicro manipulation tools driven by light in a liquid. Appl Phys Lett82: 133–135.
40.
McNerneyGPHübnerWChenBKHuserT (2010) Manipulating CD4+ T cells by optical tweezers for the initiation of cell-cell transfer of HIV-1. J Biophoton3: 216–223.
OertelH (2004) Prandtl’s essentials of fluid mechanics. Appl Math Sci158: 118–125.
44.
PacoretCBowmanRGibsonGHaliyoSCarberryDBerganderA. (2009) Touching the microworld with force-feedback optical tweezers. Opt Express17: 10259–10264.
45.
RanaweeraABamiehB (2005) Modeling, identification, and control of a spherical particle trapped in an optical tweezer. Int J Robust Nonlin Control15: 747–768.
46.
RettigJRFolchA (2005) Large-scale single-cell trapping and imaging using microwell arrays. Anal Chem77: 5628–5634.
47.
RomanGTChenYVibergPCulbertsonAHCulbertsonCT (2007) Single-cell manipulation and analysis using microfluidic devices. Anal Bioanal Chem387: 9–12.
48.
RustomASaffrichRMarkovicIWaltherPGerdesH-H (2004) Nanotubular highways for intercellular organelle transport. Science303: 1007–1010.
49.
SimpsonSHHannaS (2010) Holographic optical trapping of microrods and nanowires. J Opt Soc Am A27: 1255–1264.
50.
SittiMHashimotoH (2000) Controlled pushing of nanoparticles: modeling and experiments. IEEE/ASME Trans Mechatron5: 199–211.
51.
SowinskiSJollyCBerninghausenOPurbhooMAChauveauAKöhlerK (2008) Membrane nanotubes physically connected T cells over long distance presenting a novel route for HIV-1 transmission. Nat Cell Biol10: 211–219.
52.
SteublingRChengSBernsMW (1991) Laser-induced cell fusion in combination with optical tweezers: The laser–cell fusion trap. Cytometry12: 505–510.
53.
SunD (2003) Position synchronization of multiple motion axes with adaptive coupling control. Automatica39: 997–1005.
54.
SunD (2010) Synchronization and Control of Multiagent System. London: Taylor & Francis Group, LLC.
55.
SunDMillsJK (2002) Adaptive synchronized control for coordination of multirobot assembly tasks. IEEE Trans Robotics Automat18: 498–510.
56.
SunDLuRMillsJKWangC (2006) Synchronous tracking control of parallel manipulators using cross-coupling approach. Int J Robotics Res25: 1137–1147.
57.
SunDShaoXFengG (2007) A model-free cross-coupled control for position synchronization of multi-axis motions: theory and experiments. IEEE Trans Control Syst Technol15: 306–314.
58.
SunDWangCFengG (2009) A synchronization approach to trajectory tracking of multiple mobile robots while maintaining time-varying formations. IEEE Trans Robotics25: 1074–4086.
59.
SvobodaKBlockSM (1994) Biological applications of optical forces. Annu Rev Biophys Biomol Struct23: 247–332.
60.
TanYSunDHuangWChengS (2008) Mechanical modeling of biological cells in microinjection. IEEE Trans NanoBiosci7: 257–266.
61.
TanakaYKawadaHHiranoKIshikawaMKitajimaH (2008) Automated manipulation of non-spherical micro-objects using optical tweezers combined with image processing techniques. Opt Express16: 15115–15122.
WejinyaUCShenYXiNLaiWCZhangJ (2008) An efficient approach of handing and deposition of micro and nano entities using sensorized microfluidic end-effector system. Sensors Actuators A Phys147: 6–16.
64.
WuYHChenHYSunDHuangWH (2010) Forces characterization in automated transportation of live cells with optical tweezers. In IEEE Int. Conf. on Mechatronics and Automation, Xi’an, China, pp.1913–1918.
65.
WuYSunDHuangW (2011) Mechanical force characterization in manipulating live cells with optical tweezers. J Biomechanics44: 741–746.
66.
WulffKDColeDGClarkRL (2007) Servo control of an optical trap. Appl Opt46: 4923–4931.
67.
XieYSunDLiuCTseHYChengS (2010) A force control approach to robot-assisted cell microinjection system. Int J Robotics Res29: 1222–1232.
68.
ZahnMRenkenJSeegerS (1999) Fluorimetric multiparameter cell assay at the single cell level fabricated by optical tweezers. FEBS Lett443: 337–340.
