Theory of holographic optical trapping
Abstract.
Optical traps use the forces exerted by structured beams of light to confine and manipulate microscopic objects in three dimensions. A popular implementation involves structuring the trap-forming beam with computer-generated holograms before focusing it into traps with a high-numerical-aperture optical train. Here, we present a fully vectorial theory for the forces and torques exerted by such systems.
§ I. Introduction
Holographic optical trapping (HOT) is an increasingly popular method for applying precisely controlled forces to microscopic objects (1); (2). In this technique, a computer-generated hologram is imprinted onto the wavefronts of a laser beam using a diffractive optical element (DOE) such as a spatial light modulator (SLM). The modified beam then is relayed to a high-numerical-aperture lens, which focuses the light into the desired pattern of optical traps. This three-dimensionally structured light field influences the motions of illuminated objects through a combination of induced-dipole forces (3), which arise from local intensity gradients, and radiation pressure (4); (5); (6), which is directed by local phase gradients (7). The former generally is referred to as the optical gradient force, and the latter as the scattering force. If the combination of these optical forces gives rise either to a mechanical equilibrium or to a dynamical steady state, the illuminated object is said to be trapped, and the structured light field constitutes an optical trap.
The forces and torques exerted by an optical trap can be computed by first calculating the electromagnetic field surrounding an illuminated object and then integrating the Maxwell stress tensor over its surface. This approach has been used (8); (9); (10); (11) to model the forces exerted by conventional optical tweezers (3). More recently, finite-difference time-domain calculations have been used to compute the optical forces and torques on multiple spheres and cylinders arranged in holographically projected arrays of optical tweezers (12). These studies use fully vectorial expansions of the light field, and so capture polarization-dependent effects as well as those due to intensity and phase gradients. Because they are based on particular models for the focused beam, however, they are not easily extended to the more general light fields that can be projected with the HOT technique.
This article presents an efficient method for computing the optical forces and torques exerted by holographic trapping patterns in practical HOT systems. Based on Debye-Wolf theory for light propagation through optical trains and the Lorenz-Mie theory of light scattering by small particles, this approach expresses the incident and scattered fields as solutions of the vector Helmholtz equation and so accurately describes the forces encountered in high-numerical-aperture trapping.
Figure 1 schematically represents the optical train of a typical HOT system. We assume that the DOE consists of an array of discrete pixels, each of which imprints a local phase shift on the wavefronts of a beam of light. An image of the pixel array is projected onto the input pupil of the objective lens by a telescope. This image can be decomposed into a set of plane waves, each of which is brought to a focus by the objective lens. Assuming the objective to be free from aberrations, its focusing properties can be modeled with a well-established angular distribution of plane waves (13). Each pixel in the DOE therefore contributes to the angular distribution of plane waves in the far field of the objective lens. These plane waves, in turn, impinge on the illuminated object, whose scattering pattern can be computed with Lorenz-Mie formulas, T-matrix theory or related methods. Summing up the individual pixels' contributions to the scattered field yields the total electromagnetic field at the particle's surface, and thus the Maxwell stress tensor. This then yields the optical forces and torques experienced by the particle (8); (14)
§ II. Optical forces and torques
The optical force and torque experienced by
an illuminated object arises from the
energy-momentum tensor
of the electromagnetic field.
Among various formulations, the symmetric Maxwell tensor
is found to simplify computation of
forces and torques (15).
In SI units,
| (1) |
where the momentum flux in the electromagnetic field
| (2) |
emerges from gradients in the light's vector potential,
.
The force on a particle is then obtained by integration
over its surface
,
| (3) |
Similarly, the optical torque is obtained as
| (4) |
where the angular momentum tensor corresponding to the symmetric stress tensor is
| (5) |
and where
is the Levi-Civita antisymmetric tensor.
In discussing the forces exerted by optical traps,
it is conventional to define the trapping efficiency
in the direction
as (8)
| (6) |
where
is the laser power,
is the refractive index of the
medium, which we assume for simplicity to be homogeneous and
isotropic, and
is the speed of light in vacuum.
Similarly the torque efficiency for a sphere of radius
rotating about
the
direction is
| (7) |
This general formulation is common to all theoretical studies of optical trapping. Diverse implementations differ in how they treat the incident and scattered electromagnetic fields surrounding the particle, and in their strategy for performing the surface integrals in Eq. (3) and (4). The formalism described in the following sections computes the superposition of contributions from each pixel in a pixellated DOE to the overall force and torque exerted on an object in a holographic optical trapping system. Although our discussion focuses on optical trapping of isotropic homogeneous spheres, it can be generalized to particles of other shapes and compositions.
§ III. HOT light fields
Previous discussions of the light fields projected by holographic optical trapping systems have considered only the role of the objective lens, and have treated this with scalar diffraction theory (16); (17); (18); (19); (20). Although this approximation is computationally efficient and has proved effective for projecting sophisticated optical trapping patterns, its neglect of polarization effects leads to errors in predicting the projected light field. These treatments, furthermore, did not predict the forces and torques that the projected light would exert on illuminated objects. They were not suitable, therefore, for predicting and optimizing the performance of holographic trapping systems.
§ III.1. The role of the relay lenses
In a standard HOT system, the DOE is positioned in the input plane of a telescope whose role is to project the hologram onto the input pupil of the objective lens. In so doing, however, it also rotates the light's polarization in a position-dependent manner. The image of the DOE in the objective's input pupil thus differs from the ideal DOE in a way that affects trapping performance. Such spatially varying polarization was not considered in previous studies of the forces exerted on spheres by strongly focused light fields (9); (10). We account for this effect by making use of recent results obtained with the Debye-Wolf formalism (21).
Because the telescope forms an image in the far field,
each pixel in the DOE may be
treated as a magnetic dipole.
The contribution to the vector potential
from the
-th pixel thus has the form (21)
| (8) |
where
is the wavenumber of light of wavelength
, and where
and
are the phase and amplitude at the
-th pixel, respectively.
The polarization of the ray propagating along
| (9) |
is given by
| (10) |
where
is the polarization of the
incident light.
The total vector potential at point
is then
![]() |
(11) |
for a DOE consisting of
pixels.
The image in the objective's input pupil
is a superposition of contributions from each of the
DOE's pixels.
Referring to Fig. 1,
a ray propagating from
on the DOE
in the direction
arrives at
in the image plane
in the direction
.
The angles of departure and arrival
are related by the Abbe sine condition,
, and
by continuity,
.
All such contributions can be expressed as
a superposition of plane waves through
the Debye-Wolf integral (21),
| (12) |
where the complex amplitude of the plane
wave propagating in direction
is
![]() |
(13) |
The geometric operator
accounts for rotation of the light's polarization
as it propagates through the telescope
and may be represented as (21)
![]() |
(14) |
in terms of the generalized Jones matrices
![]() |
(15) | |||
![]() |
(16) |
§ III.2. Focusing by an aberration-free objective
The light field formed by the telescope
is focused into the sample by the objective lens.
The plane wave propagating in the
direction
thus is transformed into a
superposition of plane waves that are incident on
the sample, which we assume to be immersed in a homogeneous
isotropic medium of refractive index
.
The component propagating along
with
polarization
may be written as
| (17) |
with a complex amplitude that also is described by a Debye-Wolf integral,
| (18) |
where
.
Assuming further that the objective lens has well corrected
aberrations,
the geometric tensor describing the rotation of the
beam's polarization is (22)
![]() |
(19) |
Whereas
is measured with respect to the center of the
DOE,
is centered on the objective lens' input pupil
and
is centered on the optical train's focal point.
These choices eliminate additional phase factors in the Debye-Wolf
integrals.
§ IV. Light scattering by small objects
Although light scattering by small objects has been studied in great detail, analytic results are available only for a few specific cases. Lorenz-Mie theory provides exact expansions in vector spherical harmonics for the scattering of plane waves by spheres. More general systems can be treated with T-matrix theory (23).
From Eq. (18), the object is illuminated
by a superposition of plane waves.
The component propagating along
with polarization
has the complex amplitude
.
This component contributes
to the scattered field
at point
, where the subscript
refers to the
polarization of the incident light.
The total scattered field at
is then
![]() |
(20) |
and the total vector potential is
| (21) |
This can be substituted into Eqs. (2) through (4) to obtain the optical force and torque on the object due to the particular hologram implemented with the DOE.
In many cases of practical interest, the object may be
modeled as a smooth sphere made of a homogeneous isotropic material
with complex refractive index
.
The imaginary part of
, also known as the extinction coefficient,
characterizes the material's absorptivity.
Although absorption plays a critical role
in computations of optically-induced torque (24),
its influence on the forces exerted
by optical traps has received less attention (25); (26); (27).
Illuminating such a sphere
with
, which describes
a plane wave
propagating along
and linearly polarized along
,
gives rise to a scattered field
| (22) |
where the Lorenz-Mie scattering tensor for
-polarized
light is given
(28); (29) as an expansion,
![]() |
(23) |
in the vector spherical harmonics
| (24) |
and
| (25) |
Here,
is the associated Legendre polynomial of the
first kind, and
is the spherical Bessel function of the
first kind of order
.
The expansion coefficients in Eq. (23) are given
by (28)
![]() |
(26) |
where
is the particle's relative refractive index relative,
is its size parameter,
is the spherical Hankel function of
the first type of order
, and where primes denote derivatives
with respect to the argument.
Similarly,
![]() |
(27) |
Once these scattering coefficients are known,
equivalent results for other incident
directions,
, and polarizations,
, can be obtained through
coordinate rotations.
From the perspective of practical implementation,
the sum in Eq. (23)
converges after a number of terms,
, that depends on
the particle's size through
(29); (23).
Computing additional terms does not improve accuracy because
of the accumulation of round-off error.
Making matters more difficult,
the numerical implementations of
the Bessel functions in at least some standard mathematical
libraries suffer from large errors at
large indexes
, and either large or small arguments
.
The error can be assessed by computing the discontinuity
in the total field just inside and just outside
the particle's surface.
The implementations in recent
versions of such commercial general purpose
scientific computing packages as Mathematica,
IDL and Matlab lead to relative discontinuities as large as 10 percent
at the surface of a 100 nm diameter titania sphere in water.
To avoid such errors,
we employed the more robust numerical techniques
described by (30) and (31)
and typically obtain convergences to within
over the entire range of sizes considered.
§ V. Superposition of Plane-Wave Contributions
The result analogous to Eq. (20) for scattering of
light propagating along
and polarized
in the
direction
is obtained through a rotation of
about
:
.
The scattered wave due to a plane wave incident along
has the same form in the
coordinate system,
,
that is rotated so that
is aligned with
.
The necessary coordinate transformation can be performed
with the Euler rotation tensor
![]() |
(28) |
such that
.
The general solution for the scattered wave therefore has the form
| (29) |
This can be combined with Eq. (18) for the incident field's vector potential and substituted into Eqs. (1) through (4) to obtain the force and torque acting on the sphere.
§ VI. Numerical Results
To illustrate the vectorial theory of holographic optical trapping outlined above, we have computed the force and torque fields associated with several types of optical traps acting on colloidal spheres.
§ VI.1. Trapping by an optical tweezer
Following Ref. (32), we begin by computing the optical force
experienced by a colloidal sphere in a conventional
point-like optical tweezer as a function of the sphere's
radius,
, and its refractive index
.
The incident light field
is obtained by setting
for all of
the pixels in the DOE.
We focus our attention on the axial force profile,
which tends to be weaker than the longitudinal
force profile.
Failure to achieve axial trapping is the
principal failure mode of conventional optical tweezers.
The results, summarized in Fig. 2,
are similar in many respects to
those reported in Ref. (32).
Most tellingly, Fig. 2(a) and
Fig. 3 of (32) both
demonstrate that particles with diameters larger than
can be trapped only if their
relative refractive index is below roughly 1.4.
The large domains of high-index trapping in (32)
are reduced to discrete islands of stability in Fig. 2
due in part to the influence of the relay optics on the
light's polarization, which was not considered in (32).
Both sets of results predict that high-index spheres can be trapped in a single-beam optical tweezer provided they are sufficiently small. This is an important observation for holographic assembly of photonic structures (33), many of which rely on high-index materials for their interesting and useful optical properties.
Figure 3 of (32) suggests that spheres smaller
than roughly
cannot be trapped at all, and that the condition for marginal
trapping depends strongly on refractive index for small
index mismatches.
This differs qualitatively from Fig. 2,
which shows stable trapping for very small spheres,
even with modest relative refractive indexes.
The difference in this case can be ascribed to the earlier
study's use of Matlab's spherical
Hankel functions, which are inaccurate for large indexes
and small arguments.
Consequently, Fig. 2 should be
considered a more faithful guide for designing
optical trapping experiments.
§ VI.2. Forces and torques in an optical vortex
An optical tweezer may be transformed into a torque-exerting optical vortex (34); (35); (36) by imposing the helical wavefront phase profile
| (30) |
with the DOE.
The winding number
controls the beam's
helicity and is referred to as the topological charge.
The helical topology gives rise to destructive interference
along the beam's axis.
Light therefore is redistributed to a ring of radius
that is proportional to
in typical holographic implementations
(37); (38); (39).
The image in Fig. 3(a) shows the computed intensity
in the focal plane,
, for half of such a ring.
In this case, the topological charge
corresponds to
the radius
.
Figure 3(b) shows the in-plane component of the
total optical force
for a sphere with
,
, and
.
These values are appropriate for
a 1 ![]()
diameter silica sphere dispersed in water and
trapped at
.
Hues indicate the direction of the force in the
plane
according to the inset color wheel.
The saturation of the color corresponds to the magnitude of the force,
with unsaturated white regions corresponding to weak forces, and
brightly saturated regions corresponding to
.
The six black dots in Fig. 3(b) show the starting points
for the computed trajectories that are superimposed on the force
field.
These two-dimensional trajectories are calculated for particles
constrained to move in the
plane, and do not account
for the axial component of the force.
They correspond to the motion typically
described in experimental studies of
colloidal particles in high-index optical vortexes
(40); (41); (37), where particles are pressed against
a glass surface to prevented them from
escaping along the axial direction.
These representative trajectories show that particles are drawn by
intensity-gradient forces to the bright ring and then are driven
around the ring by phase-gradient forces (42); (7)
This circulatory motion
is a consequence of the helical beam's
orbital angular momentum,
which amounts to
per photon
(43); (44).
The orbital angular momentum flux in a helical mode
is independent of the photons' spin,
and thus is independent of the light's polarization (43); (45).
Although the incident laser beam is assumed to be linearly polarized,
the strongly focused light field has a far more complicated spatially
varying polarization.
Gradients in the intensity, phase and polarization of the light
can exert torques as well as forces on illuminated objects,
as the in-plane torque distribution in Fig. 3(c)
demonstrates.
The hue in Fig. 4(c) indicates direction
of the torque in the
plane,
and the saturation indicates the magnitude
of the torque efficiency.
A homogeneous isotropic sphere only experiences a torque if
it absorbs light (24).
The scale of the torque efficiency in Fig. 3(c)
therefore is proportional to the imaginary part of
.
For the micrometer-diameter silica sphere in this calculation,
.
The maximum rotation frequency of 0.1 Hz/W would
be challenging to observe experimentally, particularly on
a background of vigorous brownian motion.
Nevertheless, this demonstrates that optically-induced
rotation can arise even in linearly polarized optical traps,
and may become an important factor for materials
such as polystyrene that absorb
light more strongly than silica.
The axial structure of an optical vortex,
plotted in Figs. 3(d), (e) and (f), reveals its limitations
as an optical trap.
The axial intensity profile in Fig. 3(d) corresponds
to a region around the principal focal ring, the
dashed line indicating the position of the focal plane,
.
The associated force distribution in Fig. 3(e)
shows that particles are driven downstream along the optical axis,
and so are not axially trapped.
Hues correspond to directions in the
plane corresponding to the
color wheel, and maximum saturation corresponds to the force scale
.
§ VI.3. Trapping in a holographic ring trap
The data in Fig. 4 show the corresponding results
for a micrometer-diameter silica sphere in a
holographic ring trap (46).
Unlike optical vortexes, these ring traps are designed to come to
a diffraction-limited focus.
The in-plane and axial intensity distributions in Figs. 4(a)
and (d) demonstrate ring traps' superior focusing characteristics.
Holographic ring traps also may have arbitrary circumferential phase
profiles.
The example in Fig. 4 was created with a uniform
azimuthal phase gradient corresponding to
.
Such a ring trap can be created holographically with (46)
| (31) |
where
is the
-th order Bessel function of the
first kind and
is the Heaviside step function.
In practice, we have encoded this complex-valued
hologram on a phase-only spatial light modulator
using the shape-phase algorithm (46).
Whereas an optical vortex's radius is coupled to its helicity,
Eq. (31) shows that
the radius
of a ring trap is independent of
.
The ring trap's in-plane characteristics, plotted in
Figs. 4(b) and (c), qualitatively resemble
those of the optical vortex. The radial force scale is
substantially increased, however, by the stronger
intensity gradients, with
.
This also is reflected in the larger torque scale in
Fig. 4(c), with
.
The most noteworthy characteristic of the holographic
ring trap is its axial force profile,
which is shown in Fig. 4(e).
Unlike the optical vortex,
the ring trap features strong axial focusing
and so has a stable axial equilibrium point just
downstream of the focal plane with a peak trapping
efficiency of
.
Particles thus can be trapped
in three dimensions as they circulate around the ring, without
requiring additional external confinement.
This should improve the performance of
ring-based micro-optomechanical machines (47)
and should facilitate a search for spin induced by the
optical torques shown in Figs. 4(c) and (f).
§ VI.4. Holographic line trap
Figure 5 shows the intensity, force and
torque distribution experienced by a micrometer-diameter
silica sphere in a holographic line trap (20).
This is another generalization of an optical tweezer whose
focal point is extended along a line segment in the focal plane,
as shown in Fig. 5(a).
Holographic line traps also come to a diffraction-limited focus in
the axial direction, as Fig. 5(d) shows, and
therefore can trap objects stably in three dimensions, as shown
in Fig. 5(e), with a trapping efficiency of
.
The addition of an appropriate phase profile then facilitates creating
a tailored force profile along the line's length (7),
even when its intensity is uniform.
The effect of a confining phase profile is demonstrated
in Fig. 5(b), with superimposed trajectories
converging on a region of mechanical equilibrium (7).
A uniform phase profile eliminates the inward force along the line,
and would allow a particle to diffuse freely in the
direction (7). Switching the sign of the phase profile
would drive particles to the ends of the line (7).
The computed torque distributions in Figs. 5(c) and (f) show that an illuminated particle again would tend to spin in the proximity of the strongly focused trap. The torque distribution for a holographic line trap is simpler than that for a holographic ring trap, with the particle's rotation axis varying little along the line and its direction flipping as the particle crosses the line. The torque efficiencies are comparably large, however.
§ VII. Conclusion
We have combined a Debye-Wolf treatment of light propagation through an optical train with Lorenz-Mie theory for light scattering to develop a vectorial theory for the forces and torques applied by holographic optical traps. This theory of holographic trapping is inherently more accurate than approximations based on scalar diffraction diffraction theory or on the Rayleigh or ray-optics approximations. It not only reproduces previous results obtained for optical tweezers and related single-beam optical traps, but accurately accounts for polarization effects in a realistic model for the optical train of practical holographic trapping systems. Treating the hologram on a pixel-by-pixel basis not only permits detailed analysis of the very general optical force fields that can be projected holographically, but also lends itself to accurate treatment of aberrations, which can be encoded in the DOE.
We have used this vector theory to confirm the behavior of phase-gradient forces in extended traps that was predicted on the basis of scalar diffraction theory (7). The spatially resolved images of the force and torque fields further reveal substantial consequences of polarization rotation in high-numerical-aperture optics. The transformation of the linearly polarized input beam into more general and spatially varying elliptical polarization can give rise to a highly structured torque field whose influence has yet to be observed experimentally. This suggests that polarization engineering can be viewed as an additional channel for control in holographically structured light fields. More generally, the vectorial theory of holographic optical trapping should provide a useful basis for designing and optimizing optical micromanipulation systems for particular applications.
This work was supported in part by the NSF through Grant Number DMR-0606415 and in part by a grant from the Keck Foundation. B.S. acknowledges support from a Kessler Family Foundation Fellowship.
References
-
(1)
E. R. Dufresne and D. G. Grier, “Optical tweezer arrays and optical substrates created with diffractive optical elements,” Rev. Sci. Instrum. 69(5), 1974–1977 (1998).
-
(2)
D. G. Grier, “A revolution in optical manipulation,” Nature 424(6950), 810–816 (2003).
-
(3)
A. Ashkin, J. M. Dziedzic, J. E. Bjorkholm, and S. Chu, “Observation of a single-beam gradient force optical trap for dielectric particles,” Opt. Lett. 11(5), 288–290 (1986).
-
(4)
A. Ashkin, “Acceleration and trapping of particles by radiation pressure,” Phys. Rev. Lett. 24, 156–159 (1970).
-
(5)
A. Ashkin, “Applications of laser radiation pressure,” Science 210(4474), 1081–1088 (1980).
-
(6)
A. Ashkin, “Forces of a single-beam gradient laser trap on a dielectric sphere in the ray optics regime,” Biophys. J. 61(2), 569–582 (1992).
-
(7)
Y. Roichman, B. Sun, Y. Roichman, J. Amato-Grill, and D. G. Grier, “Optical forces arising from phase gradients,” Phys. Rev. Lett. 100, 013602 (2008).
-
(8)
P. A. Maia Neto and H. M. Nussenzveig, “Theory of optical tweezers,” Europhys. Lett. 50(5), 702–708 (2000).
-
(9)
A. Rohrbach and E. H. K. Stelzer, “Three-dimensional position detection of optical trapped dielectric particles,” J. Appl. Phys. 91, 5474–5488 (2002).
-
(10)
A. Rohrbach and E. H. K. Stelzer, “Trapping forces, force constants, and potential depths for dielectric spheres in the presence of spherical aberrations,” Appl. Opt. 41(13), 2494–2507 (2002).
-
(11)
A. Mazolli, P. A. Maia Neto, and H. M. Nussenzveig, “Theory of trapping forces in optical tweezers,” Proc. Royal Soc. London A 459, 3021–3041 (2003).
-
(12)
D. C. Benito, S. H. Simpson, and H. Simon, “FDTD simulations of forces on particles during holographic assembly,” Opt. Express 16, 2942–2957 (2008).
-
(13)
E. Wolf, “Electromagnetic diffraction in optical systems. I. An integral representation of the image field,” Proc. Royal Soc. London A 253, 349–357 (1959).
-
(14)
B. A. Kemp, T. M. Grzegorczyk, and J. A. Kong, “Optical momentum transfer to absorbing Mie particles,” Phys. Rev. Lett. 97, 133,902 (2006).
-
(15)
R. Loudon, “Radiation pressure and momentum in dielectrics,” Fortschr. Phys. 52, 1134–1140 (2004).
-
(16)
J. Liesener, M. Reicherter, T. Haist, and H. J. Tiziani, “Multi-functional optical tweezers using computer-generated holograms,” Opt. Commun. 185(1-3), 77–82 (2000). HOT arrays created using LCD in transmission mode.
-
(17)
J. E. Curtis, B. A. Koss, and D. G. Grier, “Dynamic holographic optical tweezers,” Opt. Commun. 207(1-6), 169–175 (2002).
-
(18)
M. Polin, K. Ladavac, S.-H. Lee, Y. Roichman, and D. G. Grier, “Optimized holographic optical traps,” Opt. Express 13(15), 5831–5845 (2005).
-
(19)
Y. Roichman, A. S. Waldron, E. Gardel, and D. G. Grier, “Performance of optical traps with geometric aberrations,” Appl. Opt. 45(15), 3425–3429 (2006).
-
(20)
Y. Roichman and D. G. Grier, “Projecting extended optical traps with shape-phase holography,” Opt. Lett. 31(11), 1675–1677 (2006).
-
(21)
P. R. T. Munro and P. Török, “Calculation of the image of an arbitrary vectorial electromagnetic field,” Opt. Express 15, 9293–9307 (2007).
-
(22)
S. S. Sherif, M. R. Foreman, and P. Török, “Eigenfunction expansion of the electric fields in the focal region of a high numerical aperture focusing system,” Opt. Express 16, 3397–3407 (2008).
-
(23)
M. I. Mishchenko, L. D. Travis, and A. A. Lacis, Scattering, Absorption and Emission of Light by Small Particles (Cambridge University Press, Cambridge, 2001).
-
(24)
P. L. Marston and J. H. Crichton, “Radiation torque on a sphere caused by a circularly polarized electromagnetic wave,” Phys. Rev. A 30, 2508–2516 (1984).
-
(25)
K. F. Ren, G. Gréhan, and G. Gouesbet, “Prediction of reverse radiation pressure by generalized Lorenz-Mie theory,” Appl. Opt. 35(15), 2702–2710 (1996).
-
(26)
P. C. Chaumet, A. Rahmani, and M. Nieto-Vesperinas, “Photonic force spectroscopy on metallic and absorbing nanoparticles,” Phys. Rev. B 71, 045425 (2005).
-
(27)
Y. Zhang, Y. Lie, J. Qi, G. Cui, H. Lui, J. Chen, L. Zhao, J. Xu, and Q. Sun, “Influence of absorption on optical trapping force of spherical particles in a focussed Gaussian beam,” J. Opt. A 10, 085001 (2008).
-
(28)
C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles (Wiley Interscience, New York, 1983).
-
(29)
P. W. Barber and S. C. Hill, Light Scattering by Particles: Computational Methods, vol. 2 of Advanced Series in Applied Physics (World Scientific, New Jersey, 1990).
-
(30)
W. J. Lentz, “Generating Bessel functions in Mie scattering calculations using continued fractions,” Appl. Opt. 15, 668–671 (1976).
-
(31)
W. J. Wiscombe, “Improved Mie scattering algorithms,” Appl. Opt. 19, 1505–1509 (1980).
-
(32)
T. A. Nieminen, V. L. Y. Loke, A. B. Stilgoe, G. Knoner, A. M. Branczyk, N. R. Heckenberg, and H. Rubinsztein-Dunlop, “Optical tweezers computational toolbox,” J. Opt. A 9, S196–S203 (2007).
-
(33)
Y. Roichman and D. G. Grier, “Holographic assembly of quasicrystalline photonic heterostructures,” Opt. Express 13(14), 5434–5439 (2005). cond-mat/0506283.
-
(34)
H. He, N. R. Heckenberg, and H. Rubinsztein-Dunlop, “Optical particle trapping with higher-order doughnut beams produced using high efficiency computer generated holograms,” J. Mod. Opt. 42(1), 217–223 (1995).
-
(35)
N. B. Simpson, L. Allen, and M. J. Padgett, “Optical tweezers and optical spanners with Laguerre-Gaussian modes,” J. Mod. Opt. 43(12), 2485–2491 (1996).
-
(36)
K. T. Gahagan and G. A. Swartzlander, “Optical vortex trapping of particles,” Opt. Lett. 21(11), 827–829 (1996).
-
(37)
J. E. Curtis and D. G. Grier, “Structure of optical vortices,” Phys. Rev. Lett. 90, 133901 (2003).
-
(38)
J. E. Curtis and D. G. Grier, “Modulated optical vortices,” Opt. Lett. 28(11), 872–874 (2003).
-
(39)
S. Sundbeck, I. Gruzberg, and D. G. Grier, “Structure and scaling of helical modes of light,” Opt. Lett. 30, 477–479 (2005).
-
(40)
A. T. O'Neil, I. MacVicar, L. Allen, and M. J. Padgett, “Intrinsic and extrinsic nature of the orbital angular momentum of a light beam,” Phys. Rev. Lett. 88(5), 053601 (2002).
-
(41)
M. Babiker, C. R. Bennet, D. L. Andrews, and L. C. Dávila Romero, “Orbital angular momentum exchange in the interaction of twisted light with molecules,” Phys. Rev. Lett. 89(14), 143601 (2002).
-
(42)
H. He, M. E. J. Friese, N. R. Heckenberg, and H. Rubinsztein-Dunlop, ``Direct observation of transfer of angular momentum to absorptive particles from a laser beam with a phase singularity,” Phys. Rev. Lett. 75(5), 826–829 (1995).
-
(43)
L. Allen, M. W. Beijersbergen, R. J. C. Spreeuw, and J. P. Woerdman, “Orbital angular-momentum of light and the transformation of Laguerre-Gaussian laser modes,” Phys. Rev. A 45(11), 8185–8189 (1992).
-
(44)
J. Leach, M. J. Padgett, S. M. Barnett, S. Franke-Arnold, and J. Courtial, “Measuring the orbital angular momentum of a single photon,” Phys. Rev. Lett. 88(25), 257901 (2002).
-
(45)
N. B. Simpson, K. Dholakia, L. Allen, and M. J. Padgett, “Mechanical equivalence of spin and orbital angular momentum of light: An optical spanner,” Opt. Lett. 22(1), 52–54 (1997).
-
(46)
Y. Roichman and D. G. Grier, “Three-dimensional holographic ring traps,” Proc. SPIE 6483, 64830F (2007).
-
(47)
K. Ladavac and D. G. Grier, ``Microoptomechanical pump assembled and driven by holographic optical vortex arrays,” Opt. Express 12(6), 1144–1149 (2004).





![\mathbb{H}(\hat{\boldsymbol{s}},\hat{\boldsymbol{s}}_{2})=\frac{i}{\pi}\sqrt{\frac{\hat{\boldsymbol{s}}\cdot\hat{\boldsymbol{s}}_{2}}{n_{m}}}\,\frac{1}{1-(\hat{\boldsymbol{s}}\cdot\hat{\boldsymbol{s}}_{2})^{2}}\times\\
\left\{\left(\hat{\boldsymbol{s}}\times\hat{\boldsymbol{s}}_{2}\right)\left(\hat{\boldsymbol{s}}\times\hat{\boldsymbol{s}}_{2}\right)+\left[\hat{\boldsymbol{s}}_{2}-\hat{\boldsymbol{s}}\left(\hat{\boldsymbol{s}}\cdot\hat{\boldsymbol{s}}_{2}\right)\right]\left[-\hat{\boldsymbol{s}}+\hat{\boldsymbol{s}}_{2}\left(\hat{\boldsymbol{s}}\cdot\hat{\boldsymbol{s}}_{2}\right)\right]\right\}.](mi/mi75.png)


![a_{n}=\frac{m^{2}j_{n}(mx)\left[x\, j_{n}(x)\right]^{\prime}-j_{n}(x)\left[mx\, j_{n}(mx)\right]^{\prime}}{m^{2}j_{n}(mx)\left[x\, h^{{(1)}}_{n}(x)\right]^{\prime}-h^{{(1)}}_{n}(x)\left[mx\, j_{n}(mx)\right]^{\prime}},](mi/mi119.png)
![b_{n}=\frac{j_{n}(mx)\left[x\, j_{n}(x)\right]^{\prime}-j_{n}(x)\left[mx\, j_{n}(mx)\right]^{\prime}}{j_{n}(mx)\left[x\, h^{{(1)}}_{n}(x)\right]^{\prime}-h^{{(1)}}_{n}(x)\left[mx\, j_{n}(mx)\right]^{\prime}}.](mi/mi65.png)
