OSA's Digital Library

Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 4, Iss. 5 — May. 5, 2009
« Show journal navigation

Optical sorting of dielectric Rayleigh spherical particles with scattering and standing waves

Adrian Neild, Tuck Wah Ng, and Winston Ming Shen Yii  »View Author Affiliations


Optics Express, Vol. 17, Issue 7, pp. 5321-5329 (2009)
http://dx.doi.org/10.1364/OE.17.005321


View Full Text Article

Acrobat PDF (241 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

An all optical method for dielectric Rayleigh particle sorting possesses significant advantages. Here, we describe an approach that applies optical scattering forces to translate varied sized particles differentially from a surface followed by the introduction of an optical standing wave to maintain and tighten the positional tolerance of the differentiated particles in the medium. Numerical simulation demonstrates the workability of this scheme; which is highly dependent on Brownian forces typically dominant at this length scale. It also shows the significant impact of temperature and medium viscosity on the operation of this technique.

© 2009 Optical Society of America

1. Introduction

Nanospheres offer exciting vistas in burgeoning areas such as drug delivery [1

1. A. R. Todeschini, J. N. Dos Santos, K. Handa, and S. Hakomori, “Ganglioside GM2/GM3 complex affixed on silica nanospheres strongly inhibits cell motility through CD82/cMet-mediated pathway,” Proc. Nat. Acad. Sci. 105, 1925–1930 (2008). [CrossRef] [PubMed]

] and nanoscale lithography [2

2. A. Kosiorek, W. Kandulski, H. Glaczynska, and M. Giersig, “Fabrication of nanoscale rings, dots, and rods by combining shadow nanosphere lithography and annealed polystyrene nanosphere masks,” Small 1, 439–444 (2005). [CrossRef]

]. For the latter field in particular, the availability of precise nanosphere sizes is crucial. This can be accomplished by developing improved methods of manufacture which is challenging to achieve and maintain [3

3. A. Jaworek, “Micro- and nanoparticle production by electrospraying,” Powder Technol. 176, 18–35 (2007). [CrossRef]

]. Another approach will be to create nanospheres with a looser size tolerance and then introduce a sorting method to obtain the right sizes. Contacting sorting approaches are not feasible at the nanoscale due to the inherent propensity for handling damage. The use of momentum transfer between laser beam and particle offers an exciting avenue for nanosphere sorting without destruction or contact. The majority of optical methods reported rely on using the flowrate of particles in tandem with a landscape of radiation forces to operate somewhat as either sieves or deflecting elements to carry out sorting [4–11

4. M.P. MacDonald, G.C. Spalding, and K. Dholakia, “Microfluidic sorting in an optical lattice” Nature 426, 421–424 (2003). [CrossRef] [PubMed]

]. It is well accepted, however, that a good control of the fluidic flow necessitates careful design and skilled tuning. A recent report of using displaced and flashing optical landscapes offers a flow independent approach to sorting micron scale particles [12

12. R. L. Smith, G. C. Spalding, K. Dholakia, and M. P. MacDonald, “Colloidal sorting in dynamic optical lattices,” J. Opt. A 9, S134–S138 (2007). [CrossRef]

]. At the sub-micron scale, particle motion and thus sorting, is strongly influenced not only by fluid flow but by Brownian diffusion. The coupling of photophoresis with asymmetric potential cycling presents a possible non-flow approach for sorting at this regime [13

13. T. W. Ng, A. Neild, and P. Heeramann, “Continuous sorting of Brownian particles using coupled photophoresis and asymmetric potential cycling,” Opt. Lett. 33, 584–586 (2008). [CrossRef] [PubMed]

]. Plasmon excitation of particles using laser light is yet another method amenable for sub-micron scale sorting [14

14. A. S. Zelenina, R. Quidant, G. Badenes, and M. Nieto-Vesperinas, “Tunable optical sorting and manipulation of nanoparticles via plasmon excitation,” Opt. Lett. 31, 2054–2056 (2006). [CrossRef] [PubMed]

]; albeit it is limited to differentiating metallic particles.

The use of an optical standing wave for particle trapping was first reported by Zemanek et.al. [15

15. P. Zemanek, A. Jonas, L. Sramek, and M. Liska, “Optical trapping of Rayleigh particles using a Gaussian standing wave,” Opt. Commun. 151, 273–285 (1998). [CrossRef]

]. As the scattering force is strongly suppressed with a laser beam that is reflected strongly from a mirror, trapping in the axial direction is greatly enhanced and occurs at multiple axial locations with this method. Nevertheless, single particle manipulation using standing wave traps remains limited by two practical issues. Firstly, moving the laser beam together with a mirror is cumbersome, and secondly an approach of applying radiation from two opposing coaxial optical fibers can achieve a trapping effect as well [16

16. J. Guck, S. Schinkinger, B. Lincoln, F. Wottawah, S. Ebert, M. Romeyke, D. Lenz, H. M. Erickson, R. Ananthakrishnan, D. Mitchell, J. Käs, S. Ulvickand, and C. Bilby, “Optical Deformability as an Inherent Cell Marker for Testing Malignant Transformation and Metastatic Competence,” Biophys. J. 88, 3689–3698 (2005). [CrossRef] [PubMed]

]. Optical standing waves, however, manifest themselves in a periodic field akin to interference fringe patterns and have been demonstrated to be effective in the context of multiple particle transport and sorting [17

17. T. Cizmar, M. Siler, M. Sery, P. Zemanek, V. Garces-Chavez, and K. Dholakia, “Optical sorting and detection of submicrometer objects in a motional standing wave,” Phys. Rev. B 74, 035105 (2006). [CrossRef]

]. Similarly, ultrasonic standing waves are predominately used for the manipulation of large numbers of micro particles [18

18. A. Neild, S. Oberti, G. Radziwill, and J. Dual, “Simultaneous Positioning of Cells into Two-Dimensional Arrays using Ultrasound,” Biotechnol. Bioeng. 92, 8–14 (2007).

, 19

19. A. Neild, S. Oberti, and J. Dual, “Design, modeling and characterization of microfluidic devices for ultrasonic manipulation,” Sens. Actuators B 121, 452–461 (2007). [CrossRef]

].

In this work, we propose a method of sorting Rayleigh spherical particles that uses optical scattering forces to move particles differentially according to size followed by an optical standing wave to trap the sorted particles in layers at the opportune moment. The key to this method is the relationship of the scattering forces to the particle radius to the sixth power. Numerical simulation is performed to verify the workability of this scheme using established optical particle force relationships and Brownian dynamics.

2. Theory and description

A key feature in the sorting scheme lies in the devise an optical setup that will permit both optical scattering and standing wave trapping to occur. The proposed setup (Fig. 1) has two laser beams at different wavelengths illuminating the sample at opposite directions, aligned such that they are coaxial. A step response optical filter, with transmittance characteristics shown in the inset A, is placed between the two laser beams. As the beam from below (laser 1) operates at λ > λo, the filter will allow almost all light to pass upwards (in a diagrammatic sense). There are two components to the resulting force acting on the particles; the scattering and gradient force. These need be considered in two directions, axial and radial (assuming the system is axially symmetric). The scattering and gradient force acting on a Rayleigh particle of radius a at any radial position r is given by [20

20. Y. Harada and T. Asakura, “Radiation forces on dielectric sphere in the Rayleigh scattering regime,” Opt. Commun. 124, 529–541 (1996). [CrossRef]

]

Fzscat_tw=ẑn2c163ktw4a6Pm2Aexp[2r2A]
Fzgrad_tw=ẑ32n2a3cPmzAktw2wtw4+z2(12r2A)exp[2r2A]
A=ktw2wtw2ktw2wtw4+4z2
(1)

Here represents the unit vector in the z or axial direction, with z′ being the distance in the z direction from the beam waist, wtw is the waist radius, r is the radial distance, ktw = 2π/λ, λ the wavelength of light, m′ = (m 2-1)/(m 2+2), and m = n1/n2 the relative refractive index of the particle, n1 the refractive index of the particle, n2 the refractive index of the surrounding medium, c the speed of light in vacuum, and P the power of the beam. We refer to the forces generated with laser 1 as being traveling wave forces – denoted with the subscript tw – to avoid repetition that the axial force consists of both a scattering and gradient component. Note, however, that the scattering force is dominant in this configuration. Based on the assumption that the radial scattering force is zero, the gradient force is given by [20

20. Y. Harada and T. Asakura, “Radiation forces on dielectric sphere in the Rayleigh scattering regime,” Opt. Commun. 124, 529–541 (1996). [CrossRef]

]

Frgrad_tw=r̂8n2a3cPmrA2exp[2r2A]
(2)
Fig. 1. Schematic description of the proposed optical sorting geometry that comprises laser beam 1 for predominant scattering and laser beam 2 for trapping in which an optical filter allows a seamless operation of both (A). A monolayer of particles with different sizes (B) is scattered upwards under the action of laser scattering such that larger particles are dispersed further from the surface (C). Introduction of the standing wave laser trap at the right moment ensures that the differentiated size particles are spatially maintained (D).

As a second laser beam from above (laser 2) operates at λ < λo, the filter will almost totally reflect the irradiation back upwards. This will then create an optical standing wave in which trapping can occur. The trapping forces acting on the Rayleigh particle, if the waist of the beam is assumed to be close to the mirror surface and the mirror surface is perfectly reflecting (thus making the axial scattering force equal to zero), is given by [15

15. P. Zemanek, A. Jonas, L. Sramek, and M. Liska, “Optical trapping of Rayleigh particles using a Gaussian standing wave,” Opt. Commun. 151, 273–285 (1998). [CrossRef]

]

Fzgrad_sw=ẑ16n2a3cPmkswBexp[2r2B]sin(ϕ)
Frgrad_sw=r̂16n2a3cPmrB2(2+2cosϕ+4zkswwsw2sinϕ)exp[2r2B]
ϕ=2kswz+4zkswr2ksw2wsw4+4z22tan1(2zkswwsw2)+ψB=ksw2wsw2ksw2wsw4+4z2
(3)

where Ψ denotes the phase shift upon reflection, z is the axial distance (if the focal points of both lasers align, z′ = z) and all other terms are as previously described. It should be noted that the radial scattering force is also zero in this case.

Let us consider the principle in the axial (z) direction. Particles of various sizes are initially located at the surface of the filter. When laser 1 is turned on, this causes the particles to move upwards from the surface under the influence of the travelling wave force. The larger particles will experience a greater motive force upwards than the smaller ones as the dominant scattering force is proportional to radius to the sixth power. In addition Brownian motion will cause a Gaussian spread of the particles’ end positions. After a specific period, chosen for optimum sorting efficiency, laser 1 is switched off and laser 2 switched on. This fixes the location of the separated particles and prevents further Brownian lead motion from washing out the sorting achieved by the axial traveling wave forces.

It can be seen that while Brownian forces are present in this approach, it is not utilized in the sorting. Brownian forces can generally be used in the scheme of sorting by providing motion to particles. Even when the Brownian type particle movement can be made to dominate in one axis, it is random in nature [13

13. T. W. Ng, A. Neild, and P. Heeramann, “Continuous sorting of Brownian particles using coupled photophoresis and asymmetric potential cycling,” Opt. Lett. 33, 584–586 (2008). [CrossRef] [PubMed]

]. The use of traveling wave forces dominated by scattering forces provides a high level of size separation sensitivity (radius to the sixth power). Brownian motion will continue to exist in the system but will represent an artifact to be surmounted. Whilst the optical forces are expressed above in terms of radial and axial components, it is much more convenient to break the radial force into x and y components when dealing with Brownian motion. The Langevian equations for motion of a single particle can be resolved in the respective axis as

Md2idt2+Fopt(î)+βdidt+2βkTξ=0
(4)

where M is the particle mass, β = 6πμa is the drag coefficient (μ being the viscosity), k the Boltzmann’s constant, T the temperature, i is the axis under consideration (whether x, y or z) Fopt(i) the optical force, and ξ is Gaussian white noise of unit strength [21

21. S. Abuzeid, A. A. Busnaina, and G. Ahmadi, “Wall Deposition of Aerosol particles in a Turbulent Channel Flow,” J. Aerosol Sci. 22, 43–62 (1991). [CrossRef]

]. The dynamics can be taken for which inertia is ignored (M = 0), this is an acceptable approximation even in air for particles of these radii [22

22. M. D. Summers, D. R. Burnham, and D. McGloin, “Trapping solid aerosols with optical tweezers: A comparison between gas and liquid phase optical traps,” Opt. Express 16, 7739–7747 (2008). [CrossRef] [PubMed]

].

3. Modeling and results

The Langevian relationships in Eq. (4) can be solved in x, y and z (axial) directions via numerical time steps. We consider particles of radii 24, 27 and 30 nm in air, and a refractive index of 1.6. The sizes of the particles are restricted to the Rayleigh regime by the equations. The traveling wave laser has a wavelength of 650 nm, a waist of 2 μm positioned at the upper surface of the filter, power is 10 W, and is used only as a single pulse. In the case of the standing wave the waist (2 μm) is again located at the top filter surface. However, the beam has a wavelength of 600 nm and power of 1 W. The time step used in the simulation is 50 ns and we consider operation at temperatures of 100, 200 and 293K. Figures 2(a) to 2(d) depict the axial and radial forces by the traveling and standing waves respectively, calculated in the case for a 30nm radius polystyrene spherical particle. The Brownian fluctuations occur on top of this force and depending on particle size, viscosity and temperature can be the dominant effect. Note that as we assume the viscous forces to be highly dominant at this size-scale, the first term in Eq. (4) relating to inertia can be neglected. This allows inference that at each moment in time the particles instantaneously reach a terminal velocity dictated by local optical conditions and the random variable governing the Brownian forces.

Fig. 2. Line plots of the optical (a) travelling – axial, (b) travelling – radial, (c) standing – axial, and (b) standing – radial forces acting on a 30nm radius particle.

Considering the case of using a traveling wave alone, we see that separation occurs fleetingly by examination of the results in Fig. 3. In this depiction, each size particle is assigned a color, and three lines are plotted to represent the probability (the 10th percentile, the median, and the 90th percentile) in which the each sized particle will likely reside in the axial location sense. The number of particles used was 500 and the time step applied was 50 ns; these values arrived at through a procedure seeking convergence in the simulation results. Even with a high power laser beam (10W) at 200K, the Brownian forces causes wide spreading of the particles within the 0.3 s considered. The simulation is performed for nitrogen, the viscosity of which at 200 K is 12.79 μPa s. One point to note is the particles showing a tendency to translate directionally and quickly from the surface initially before succumbing to random Gaussian movement further away. This is consistent with the optical axial force distribution of the traveling wave. Secondly the Gaussian spread of the Brownian forces is not reflected by a strict Gaussian distribution of the end location of the particles (the 10th percentile, lowest, is further from median line, than the 90th percentile, highest). This is because the Brownian forces may induce off-axis trajectories as the particles move with each time step. When the particles move off-axis, axial forces drop; which reduces the restoring capability of particles moving towards an on-axis trajectory. This skews the distribution of the particles. This is evident in the scatter plot of the particle end locations furnished in Fig. 3(b). This result illustrates the fleetingly observable separation caused by the traveling wave forces alone.

Fig. 3. (a). Axial location distribution of the 90, 50 and 10% distributions of 24, 27 and 20 nm particles at 200K subjected to optical travelling wave, and (b) scatter plot of position distribution in axial and radial sense after 0.03s.

Fig. 4. (a). Axial location distribution of the 90, 50 and 10% distributions of 24, 27 and 20 nm particles at 200K subjected to optical travelling wave for 0.015s followed by optical standing wave, and (b) scatter plot of position distribution in axial and radial sense after 0.03s.

To investigate the effect of temperature (which also affects medium viscosity), we perform further simulations at 293 K (17.7 μPa s) and 100 K (6.66 μPa s). The results are shown in Figs. 5(a) and 5(b) respectively. It can be seen that separation improves with lowered temperatures. When particles are subject to Brownian forces alone, their trajectory will spread over time Δt along one axis by

Δz=2kTΔtβξ
(5)

This corresponds to a Gaussian distribution with a standard deviation of the squared-root term on the right where β is the drag coefficient. Both temperature and viscosity terms are present which indicate an interrelation [23

23. J. C. Maxwell, “On the viscosity of internal friction of air and other gasses,” Philos. T. Roy. Soc. London 156, 249–268(1866). [CrossRef]

]. For the three cases examined, a standard deviation of approximately 3.3 μm can be expected after 0.015 s for the 30 nm radius particles, this converts to an expected 4.3 μm spread between the location of the median line, and that of the 10th and 90th percentile (we term these the lower and upper spread respectively). In a scenario in which only Brownian forces are present, the effect of increased temperature can be expected to be almost entirely cancelled by that of increased viscosity.

Fig. 5. (a). Axial location distribution of the 90, 50 and 10% distributions of 24, 27 and 30 nm particles subjected to optical travelling wave for 0.015s followed by optical standing wave at 293 K, and (b) the same distributions at 100 K.

The spreads that occurs under the optical traveling wave and Brownian force influences are presented in Table 1. One obvious trend is that the minimum lower spread is obtained for the lowest temperature and the lower spread is greater than the upper spread. Firstly, we examine the 100K case, wherein the total spread is considerably lower than intuitively perceived if we consider on-axis movement alone. Essentially, if a particle moves forward at a faster rate due to Brownian motion, there is 50% chance that it will find itself in a region of lower optical forces (as the optical force drops with axial distance). Hence its progress is slowed, providing a tendency to keep the particles bunched together. There is naturally also Brownian motion affecting radial movement of the particles as well. This causes the particles to enter regions of lowered axial optical forces at radial displacements from the optical axis. This hinders progress along the axial direction and causes a particle distribution skew; as seen by the trend of a larger lower spread than upper spread across all temperatures examined. Associated with the radial Brownian forces that tend to move the particles off-axis are the optical radial forces which try to return the particles back on axis where the optical progression of the particles is highest. These radial forces are most efficient when they act against low drag forces; which mean that the particles should be held more effectively on axis at lower viscosity regimes. This accounts for the lower spreading observed in the radial location scatter plots. A second natural observation is the faster axial progression at lowered temperatures in which viscosity is also lowered accordingly.

Clearly, lowered temperatures are best for sorting as the associated lower viscosity causes the optical forces to move particles more efficiently as well as reducing the influence of Brownian motion. This is confirmed in Table 2, which gives the percentage of each particle type in different axial zones. The distribution curves of the particles at 0.03 s are shown in Fig. 6; which have been produced by counting the number of particles in 0.1 μm axial steps. This distance is lower than the distance between adjacent standing wave potentials; so the curves have a sharply changing profile within a bell (non-Gaussian) envelope. The axial zones were selected as being separated at the points at which these distribution profiles intersect. Thus when considering the sorting of 3 particle sizes at 200 K, the intersection between the 24 μm and 27 μm profiles is used for the lower boundary, and the intersection between the 27 μm and 30 μm profiles for the upper boundary. Hence, in sorting two particles sizes (e.g. the 24 μm and 30 μm particles) at any specific temperature, the boundary to be used is essentially the intersection of these two distribution profiles.

Table 1. The axial location of the 30 nm particles after 0.015 s exposure to traveling wave forces and Brownian motion.

table-icon
View This Table
| View All Tables

Table 2. The percentage of each particle size in zones defined in the axial direction. Each zone size (as listed in the table) has been selected to maximize the sorting between particles. The sorting is characterized in this manner for 3 particles sizes (100 K and 200 K) at lower temperatures and 2 particle sizes (200 K and 293 K) for higher temperatures.

table-icon
View This Table
| View All Tables

As has been seen, the Brownian forces alone are largely unaffected by temperature due to the almost linear relationship between viscosity and temperature. However, the drop in viscosity helps the optical forces become more dominant. Other options to achieve the same result would be to increase the laser power. However, this has been limited to 10W in this study, as a value achievable with commercially available pulsed (for operation at 0.015 s duration) lasers.

The second stage of the manipulation – which is the actuation of the standing wave using laser 2 – is also affected by the relationship between optical and Brownian force magnitudes. As such, the optical forces must be able to dominate the artifact Brownian forces, ensuring successfully trapped particles, as discussed by Kramers [24

24. H. A. Kramers, “Brownian motion in a field of force and the diffusion model of chemical reactions,” Physica 7, 284–360 (1940). [CrossRef]

]. A medium with higher viscosity supports longer times for the standing wave forces to bring the particles back to the potential well as a consequence of Brownian induced fluctuations. There is a clear trend that the higher the temperature, the less well the clouds of particles are held in a constant distribution. This is demonstrated by the slightly diverging lines in the second phase of the 293 K simulation. Once again, raising the laser power used would aid this; but practicable issues will have to be considered as this laser would be need to operate continuously once actuated.

Fig. 6. Distribution profiles of each particle size (blue: 24 μm, green: 27 μm and red: 30 μm) after 0.03 seconds. The profiles have been found by counting the number of particles in each 0.1 μm step moved in the axial direction. The temperatures of the simulations shown are (a) 100 K, (b) 200 K, (c) 293 K.

The essential feature in this scheme lies in the use of the high power relationship that allows for sorting of relatively similar sized nanoparticles, where clear sorting between particles differing in radius by 20% has been observed in the simulation results even at room temperature. A realization of this method will rely on successful trapping at low temperatures, and a method for subsequent particle extraction or fixing.

4. Conclusions

A scheme has been presented, whereby, the highly dependant force amplitude relationship on particle size in a traveling wave can be utilized for sorting Rayleigh dielectric particles operating in a regime where Brownian forces are dominant. The method uses a two phase scheme, starting with the traveling wave before alternating to a standing wave at an opportune moment to restrict movement of particles in time and space to resist the sorting from being washed out by subsequent Brownian fluctuations. A high degree of sorting has been demonstrated between nanosized particles which vary by just 10% in their radii. The nature of the competing forces has been examined by varying the temperature at which the simulations are performed.

Acknowledgments

The authors acknowledge support from ARC Discovery project grant DP0878454.

References and links

1.

A. R. Todeschini, J. N. Dos Santos, K. Handa, and S. Hakomori, “Ganglioside GM2/GM3 complex affixed on silica nanospheres strongly inhibits cell motility through CD82/cMet-mediated pathway,” Proc. Nat. Acad. Sci. 105, 1925–1930 (2008). [CrossRef] [PubMed]

2.

A. Kosiorek, W. Kandulski, H. Glaczynska, and M. Giersig, “Fabrication of nanoscale rings, dots, and rods by combining shadow nanosphere lithography and annealed polystyrene nanosphere masks,” Small 1, 439–444 (2005). [CrossRef]

3.

A. Jaworek, “Micro- and nanoparticle production by electrospraying,” Powder Technol. 176, 18–35 (2007). [CrossRef]

4.

M.P. MacDonald, G.C. Spalding, and K. Dholakia, “Microfluidic sorting in an optical lattice” Nature 426, 421–424 (2003). [CrossRef] [PubMed]

5.

L. Paterson, E. Papagiakoumou, G. Milne, S. A. Tatarkova, W. Sibbett, F. J. Gunn-Moore, P. E. Bryant, A. C. Riches, and K. Dholakia, “Light induced cell separation in a tailored optical landscape,” Appl. Phys. Lett. 87, 123901 (2005). [CrossRef]

6.

Y. Y. Sun, X. C. Yuan, L. S. Ong, J. Bu, S. W. Zhu, and R. Liu, “Large-scale optical traps on a chip for optical sorting” Appl. Phys. Lett. 90, 031107 (2007). [CrossRef]

7.

R. W. Applegate, J. Squier, T. Vestad, J. Oakey, and D. W. Marr, “Optical trapping, manipulation, and sorting of cells and colloids in microfluidic systems with diode laser bars,” Opt. Express 12, 4390–4398 (2004). [CrossRef] [PubMed]

8.

T. Imasaka, Y. Kawabata, T. Kaneta, and I. Ishidzu, “Optical chromatography,” Anal. Chem. 67, 1763–1765 (1995). [CrossRef]

9.

Y. Zhao, B. S. Fujimoto, G. D. Jeffries, P. G. Schiro, and D. T. Chiu, “Optical gradient flow focusing,” Opt. Express 15, 6167–6176 (2007). [CrossRef] [PubMed]

10.

T. M. Grzegorczyk, B. A. Kemp, and J. A. Kong, “Passive guiding and sorting of small particles with optical binding forces,” Opt. Lett. 31, 3378–3380 (2006). [CrossRef] [PubMed]

11.

M. M. Wang, E. Tu, D. E. Raymond, J. M. Yang, H. Zhang, N. Hagen, B. Dees, E. M. Mercer, A. H. Forster, I. Kariv, P. J. Marchand, and W. F. Butler, “Microfluidic sorting of mammalian cells by optical force switching,” Nat. Biotechnol. 23, 83–87 (2004). [CrossRef] [PubMed]

12.

R. L. Smith, G. C. Spalding, K. Dholakia, and M. P. MacDonald, “Colloidal sorting in dynamic optical lattices,” J. Opt. A 9, S134–S138 (2007). [CrossRef]

13.

T. W. Ng, A. Neild, and P. Heeramann, “Continuous sorting of Brownian particles using coupled photophoresis and asymmetric potential cycling,” Opt. Lett. 33, 584–586 (2008). [CrossRef] [PubMed]

14.

A. S. Zelenina, R. Quidant, G. Badenes, and M. Nieto-Vesperinas, “Tunable optical sorting and manipulation of nanoparticles via plasmon excitation,” Opt. Lett. 31, 2054–2056 (2006). [CrossRef] [PubMed]

15.

P. Zemanek, A. Jonas, L. Sramek, and M. Liska, “Optical trapping of Rayleigh particles using a Gaussian standing wave,” Opt. Commun. 151, 273–285 (1998). [CrossRef]

16.

J. Guck, S. Schinkinger, B. Lincoln, F. Wottawah, S. Ebert, M. Romeyke, D. Lenz, H. M. Erickson, R. Ananthakrishnan, D. Mitchell, J. Käs, S. Ulvickand, and C. Bilby, “Optical Deformability as an Inherent Cell Marker for Testing Malignant Transformation and Metastatic Competence,” Biophys. J. 88, 3689–3698 (2005). [CrossRef] [PubMed]

17.

T. Cizmar, M. Siler, M. Sery, P. Zemanek, V. Garces-Chavez, and K. Dholakia, “Optical sorting and detection of submicrometer objects in a motional standing wave,” Phys. Rev. B 74, 035105 (2006). [CrossRef]

18.

A. Neild, S. Oberti, G. Radziwill, and J. Dual, “Simultaneous Positioning of Cells into Two-Dimensional Arrays using Ultrasound,” Biotechnol. Bioeng. 92, 8–14 (2007).

19.

A. Neild, S. Oberti, and J. Dual, “Design, modeling and characterization of microfluidic devices for ultrasonic manipulation,” Sens. Actuators B 121, 452–461 (2007). [CrossRef]

20.

Y. Harada and T. Asakura, “Radiation forces on dielectric sphere in the Rayleigh scattering regime,” Opt. Commun. 124, 529–541 (1996). [CrossRef]

21.

S. Abuzeid, A. A. Busnaina, and G. Ahmadi, “Wall Deposition of Aerosol particles in a Turbulent Channel Flow,” J. Aerosol Sci. 22, 43–62 (1991). [CrossRef]

22.

M. D. Summers, D. R. Burnham, and D. McGloin, “Trapping solid aerosols with optical tweezers: A comparison between gas and liquid phase optical traps,” Opt. Express 16, 7739–7747 (2008). [CrossRef] [PubMed]

23.

J. C. Maxwell, “On the viscosity of internal friction of air and other gasses,” Philos. T. Roy. Soc. London 156, 249–268(1866). [CrossRef]

24.

H. A. Kramers, “Brownian motion in a field of force and the diffusion model of chemical reactions,” Physica 7, 284–360 (1940). [CrossRef]

25.

P. Zemánek, A. Jonáš, P. Jákl, J. Ježek, M. Šery, and M. Liška, “Theoretical comparison of optical traps created by standing wave and single beam,” Opt. Commun. 220, 401–412 (2003). [CrossRef]

OCIS Codes
(140.7010) Lasers and laser optics : Laser trapping
(170.4520) Medical optics and biotechnology : Optical confinement and manipulation

ToC Category:
Optical Tweezers or Optical Manipulation

History
Original Manuscript: January 28, 2009
Revised Manuscript: February 24, 2009
Manuscript Accepted: March 10, 2009
Published: March 19, 2009

Virtual Issues
Vol. 4, Iss. 5 Virtual Journal for Biomedical Optics

Citation
Adrian Neild, Tuck Wah Ng, and Winston Ming Shen Yii, "Optical sorting of dielectric Rayleigh spherical particles with scattering and standing waves," Opt. Express 17, 5321-5329 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-17-7-5321


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. A. R. Todeschini, J. N. Dos Santos, K. Handa, and S. Hakomori, "Ganglioside GM2/GM3 complex affixed on silica nanospheres strongly inhibits cell motility through CD82/cMet-mediated pathway," Proc. Nat. Acad. Sci. 105, 1925-1930 (2008). [CrossRef] [PubMed]
  2. A. Kosiorek, W. Kandulski, H. Glaczynska, and M. Giersig, "Fabrication of nanoscale rings, dots, and rods by combining shadow nanosphere lithography and annealed polystyrene nanosphere masks," Small 1, 439-444 (2005). [CrossRef]
  3. A. Jaworek, "Micro- and nanoparticle production by electrospraying," Powder Technol. 176, 18-35 (2007). [CrossRef]
  4. M. P. MacDonald, G. C. Spalding, and K. Dholakia, "Microfluidic sorting in an optical lattice" Nature 426, 421-424 (2003). [CrossRef] [PubMed]
  5. L. Paterson, E. Papagiakoumou, G. Milne, S. A. Tatarkova, W. Sibbett, F. J. Gunn-Moore, P. E. Bryant, A. C. Riches, K. Dholakia, "Light induced cell separation in a tailored optical landscape," Appl. Phys. Lett. 87, 123901 (2005). [CrossRef]
  6. Y. Y. Sun, X. C. Yuan, L. S. Ong, J. Bu, S. W. Zhu, and R. Liu, "Large-scale optical traps on a chip for optical sorting" Appl. Phys. Lett. 90, 031107 (2007). [CrossRef]
  7. R. W. Applegate, J. Squier, T. Vestad, J. Oakey, and D. W. Marr, "Optical trapping, manipulation, and sorting of cells and colloids in microfluidic systems with diode laser bars," Opt. Express 12, 4390-4398 (2004). [CrossRef] [PubMed]
  8. T. Imasaka, Y. Kawabata, T. Kaneta, and I. Ishidzu, "Optical chromatography," Anal. Chem. 67, 1763-1765 (1995). [CrossRef]
  9. Y. Zhao, B. S. Fujimoto, G. D. Jeffries, P. G. Schiro, and D. T. Chiu, "Optical gradient flow focusing," Opt. Express 15, 6167-6176 (2007). [CrossRef] [PubMed]
  10. T. M. Grzegorczyk, B. A. Kemp, and J. A. Kong, "Passive guiding and sorting of small particles with optical binding forces," Opt. Lett. 31, 3378-3380 (2006). [CrossRef] [PubMed]
  11. M. M. Wang, E. Tu, D. E. Raymond, J. M. Yang, H. Zhang, N. Hagen, B. Dees, E. M. Mercer, A. H. Forster, I. Kariv, P. J. Marchand, and W. F. Butler, "Microfluidic sorting of mammalian cells by optical force switching," Nat. Biotechnol. 23, 83-87 (2004). [CrossRef] [PubMed]
  12. R. L. Smith, G. C. Spalding, K. Dholakia, and M. P. MacDonald, "Colloidal sorting in dynamic optical lattices," J. Opt. A, Pure Appl. Opt. 9, S134-S138 (2007). [CrossRef]
  13. T. W. Ng, A. Neild, and P. Heeramann, "Continuous sorting of Brownian particles using coupled photophoresis and asymmetric potential cycling," Opt. Lett. 33, 584-586 (2008). [CrossRef] [PubMed]
  14. A. S. Zelenina, R. Quidant, G. Badenes, and M. Nieto-Vesperinas, "Tunable optical sorting and manipulation of nanoparticles via plasmon excitation," Opt. Lett. 31, 2054-2056 (2006). [CrossRef] [PubMed]
  15. P. Zemanek, A. Jonas, L. Sramek, and M. Liska, "Optical trapping of Rayleigh particles using a Gaussian standing wave," Opt. Commun. 151, 273-285 (1998). [CrossRef]
  16. J. Guck, S. Schinkinger, B. Lincoln, F. Wottawah, S. Ebert, M. Romeyke, D. Lenz, H. M. Erickson, R. Ananthakrishnan, D. Mitchell, J. Käs, S. Ulvickand, and C. Bilby, "Optical Deformability as an Inherent Cell Marker for Testing Malignant Transformation and Metastatic Competence," Biophys. J. 88, 3689-3698 (2005). [CrossRef] [PubMed]
  17. T. Cizmar, M. Siler, M. Sery, P. Zemanek, V. Garces-Chavez, and K. Dholakia, "Optical sorting and detection of submicrometer objects in a motional standing wave," Phys. Rev. B 74, 035105 (2006). [CrossRef]
  18. A. Neild, S. Oberti, G. Radziwill, and J. Dual, "Simultaneous Positioning of Cells into Two-Dimensional Arrays using Ultrasound," Biotechnol. Bioeng. 92, 8-14 (2007).
  19. A. Neild, S. Oberti, and J. Dual, "Design, modeling and characterization of microfluidic devices for ultrasonic manipulation," Sens. Actuators B 121, 452-461 (2007). [CrossRef]
  20. Y. Harada and T. Asakura, "Radiation forces on dielectric sphere in the Rayleigh scattering regime," Opt. Commun. 124, 529-541 (1996). [CrossRef]
  21. S. Abuzeid, A. A. Busnaina, and G. Ahmadi, "Wall Deposition of Aerosol particles in a Turbulent Channel Flow," J. Aerosol Sci. 22, 43-62 (1991). [CrossRef]
  22. M. D. Summers, D. R. Burnham, and D. McGloin, "Trapping solid aerosols with optical tweezers: A comparison between gas and liquid phase optical traps," Opt. Express 16, 7739-7747 (2008). [CrossRef] [PubMed]
  23. J. C. Maxwell, "On the viscosity of internal friction of air and other gasses," Philos. Trans. R. Soc. London 156, 249-268 (1866). [CrossRef]
  24. H. A. Kramers, "Brownian motion in a field of force and the diffusion model of chemical reactions," Physica 7, 284-360 (1940). [CrossRef]
  25. P. Zemánek, A. Jonáš, P. Jákl, J. Ježek, M. Šery, and M. Liška, "Theoretical comparison of optical traps created by standing wave and single beam," Opt. Commun. 220, 401-412 (2003). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited