Characterizing and tracking single colloidal particles with video holographic microscopy
Abstract.
We use digital holographic microscopy and Mie scattering theory to simultaneously characterize and track individual colloidal particles. Each holographic snapshot provides enough information to measure a colloidal sphere's radius and refractive index to within 1%, and simultaneously to measure its threedimensional position with nanometer inplane precision and 10 nanometer axial resolution.
In addition to their ubiquity in natural and industrial processes, colloidal particles have come to be prized as building blocks for photonic and optoelectronic devices, as probes for biological and macromolecular processes, and as model systems for fundamental studies of manybody physics. Many of these existing and emerging applications would benefit from more effective methods for tracking colloidal particles' motions in three dimensions. Others require better ways to measure particles' sizes and to characterize their optical properties, particularly if these measurements can be performed on individual particles in situ.
This Article demonstrates that images obtained with inline holographic microscopy (1); (2) can be interpreted with LorenzMie theory (3); (4) to obtain exceptionally precise measurements of individual colloidal spheres' dimensions and optical properties (5); (6) while simultaneously tracking their three dimensional motions with nanometerscale spatial resolution at video rates (7). This method works over the entire range of particle sizes and compositions for which Mie scattering theory applies, and requires only a single calibration of the optical train's magnification. Unlike other light scattering techniques for measuring particle size (8) or refractive index, holographic particle analysis can be applied directly to individual particles in heterogeneous samples and also is compatible with scanned (9) and holographic (10) optical trapping.
Our holographic analysis instrument is based on a standard inverted optical microscope (Nikon TE2000U), with a collimated and attenuated HeNe laser (Uniphase 5 mW, ) replacing the conventional incandescent illuminator and condenser. As indicated schematically in Fig. 1, light scattered by a particle propagates to the microscope's focal plane, where it interferes with the undiffracted portion of the beam. The resulting interference pattern is magnified (1) by the microscope's objective lens (Nikon NA 1.4 oil immersion PlanApo) and video eyepiece () onto the sensor of a greyscale video camera (NEC TI324AII). This system provides a total magnification of over a field of view. Images are recorded as uncompressed digital video at 30 frames/s using a commercial digital video recorder (Pioneer 520HS).
Analyzing these digitized holograms yields the particle's threedimensional position, , its radius, , and its index of refraction, . We assume that the incident field, , is uniformly polarized in the direction and varies slowly enough over the size of the particle to be treated as a plane wave propagating along the direction. Its amplitude at position in the plane of the particle is thus the same as its amplitude in the focal plane, . The wave propagates along the direction with wave number , where is the light's wavelength in vacuum and is the refractive index of the medium. For pure water at , at .
The particle at scatters a portion of the incident field into a highly structured outgoing wave, , where accounts for variations in the illumination, and where is the LorenzMie scattering function (3); (4); (11), which depends on , , and . The scattered field generally covers a large enough area at the focal plane that the interference pattern,
(1) 
is dominated by longwavelength variations in . The resulting distortions have been characterized (12), but were not corrected in previous analyses of (5); (7); (12); (6); (13). Fortunately, can be measured in an empty field of view, and the inline hologram can be normalized to obtain the undistorted image
(2)  
(3) 
on the plane . If we further assume that the phase of the collimated incident beam varies slowly over the field of view, the normalized image is related to the calculated Mie scattering pattern, , in the plane by
(4) 
Equation (4) can be fit to measured holograms by treating the particle's threedimensional position, its radius and its refractive index as free parameters. Previous studies fit nonnormalized holograms to phenomenological models (14); (15); (16); (6); (17); (13) or Mie scattering theory (18) for some of these quantities, but never all five. Because errors in the adjustable parameters are strongly correlated, failing to optimize them all simultaneously yields inaccurate results. Fitting instead to the full LorenzMie theory (3); (4); (11); (19); (12); (20) provides more information with greater precision.
Numerical fits to digitized and normalized holographic images were performed with the LevenbergMarquardt nonlinear leastsquares minimization algorithm (21); (22); (23) using the camera's measured signaltonoise ratio to estimate singlepixel errors. The deviates for all of the fits we report are of order unity, so that the calculated uncertainties in the fit parameters accurately reflect their precision (21); (23); (24). These estimates incorporate the estimated covariance of the adjustable parameters, so that they also may be interpreted as the resolution of each parameter (24).
Because the laser's wavelength and the medium's refractive index are both known, the only instrumental calibration is the overall magnification. This contrasts with other threedimensional particle tracking techniques (25); (26); (27); (1); (2); (13), which require independent calibrations for each type of particle, particularly to track particles in depth.
The image in Fig. 2(a) shows the normalized hologram, , for a polystyrene sulfate sphere dispersed in water at height above the focal plane. This sphere was obtained from a commercial sample with a nominal diameter of (Bangs Labs, Lot PS04N/6064). The camera's electronic shutter was set for an exposure time of 0.25 msec to minimize blurring due to Brownian motion (28). After normalizing the raw 8bit digitized images, each pixel contains roughly 5 significant bits of information. The numerical fit to faithfully reproduces not just the position of the interference fringes, but also their magnitudes. The quality of the fit may be judged from the azimuthal average; the solid curve is an angular average about the center of , the dashed curves indicate the standard deviations of the average, and the discrete points are obtained from the fit.
The fit value for the radius, , falls in the sample's specified range, which reflected a lower bound of obtained with a Beckman Z2 Coulter Counter and an upper bound of obtained by analytical centrifugation. Agreement between the quoted and measured particle size suggests that the present measurement's accuracy is comparable to its precision. In that case, both precision and accuracy surpass results previously obtained (6) through analysis of . The trajectoryaveraged value for the refractive index, , also is consistent with the properties of polystyrene colloid inferred from light scattering measurements on bulk dispersions (29).
Comparable precision in measuring a single particle's refractive index has been achieved by analyzing a colloidal particle's dynamics in an optical trap (30). This method only can be applied to particles with comparatively small refractive indexes, however, because particles with relative refractive indexes greater than are difficult to trap. Holographic characterization, by contrast, requires only a single holographic snapshot rather than an extensive time series, does not require optical trapping, and so does not require separate calibration of the trap, and is effective over a wider range of particle sizes and refractive indexes.
The corresponding data in Fig. 2(b) were obtained for a 1.45 diameter TiO sphere at above the focal plane. This sample was synthesized from titanium tetraethoxide and was heattreated to increase its density (31). Strong forward scattering by such highindex particles gives rise to imaging artifacts unless the medium is index matched to the cover slip. Dispersing the particle in immersion oil () eliminates these artifacts, but introduces spherical aberration for the lens we used, which must be corrected (32) to obtain reliable results. The fit diameter of and refractive index of are consistent with results obtained by electron microscopy and bulk light scattering, respectively. This result is noteworthy because no other singleparticle characterization method works for such high refractive indexes.
The data in Fig. 2(c) show results for a nominally 5 silica sphere (Bangs Labs, Lot SS05N/4364) dispersed in water at above the focal plane. The fit refractive index, , is appropriate for porous silica and the diameter, agrees with the value obtained for this sample with a Beckman Z2 Coulter Counter.
The same fits resolve the particle's position with a precision of 1 nm inplane and 10 nm along the optical axis. This substantially improves upon the typical 10 nm inplane accuracy obtained with standard particle tracking techniques with the same microscope and camera (25). The difference can be ascribed to the larger number of pixels subtended by a holographic image, and to the images' strong intensity gradients, which constrain the fits. The estimated 10 nm axial resolution surpasses results obtained with morphometric axial particle tracking (25); (1); (2) by a factor of ten.
Nanometerscale tracking resolution can be obtained under conventional illumination, but requires detailed calibrations for each particle (33). Still better inplane spatial resolution can be obtained at much higher bandwidths through backfocalplane interferometric methods (34), but also require accurate calibrations with piezo translators. Total internal reflection microscopy (TIRM) similarly offers subnanometer axial resolution (35); (36), but performs no better than conventional imaging methods for inplane tracking.
An additional benefit of holographic imaging over other particletracking techniques is its very large depth of focus. Our system provides useful data over a range of more than 100 , which contrasts with the useful depth of focus using conventional illumination (33) and the 100 nm range of TIRM (35); (36).
Holographic video microscopy lends itself to threedimensional particle tracking, as the data in Fig. 3 demonstrate for a colloidal silica sphere (Bangs Labs, Lot SS04N/5252) dispersed in water. This particle was lifted 30 above the focal plane with an optical tweezer, and then released and allowed to sediment. The images in Fig. 3(a) and (c) show the particle near the beginning of its trajectory and near the end. Fits to Eq. (4) are shown in Figs. 3(b) and (d).
The particle's measured trajectory in 1/30 s intervals during 15 s of its descent is plotted in Fig. 3(e). Its vertical position , Fig. 3(f), displays fluctuations about a uniform sedimentation speed, . This provides an estimate for the particle's density through , where is the density of water and is its viscosity at , and where is the acceleration due to gravity. The fit value for the particle's radius, at , remained constant as the particle settled. This value is consistent with the manufacturer's specified radius of , measured with a Beckman Z2 Coulter Counter. Accordingly, we obtain , which is a few percent smaller than the manufacturer's rating for the sample. However, the fit value for the refractive index, , also is 1.5% below the rated value, suggesting that the particle is indeed less dense than specified.
The meansquare displacements, , of the components of the particle's position provide additional consistency checks. As the data in Fig. 3(g) show, fluctuations in the trajectory's individual Cartesian components agree with each other, and all three display linear EinsteinSmoluchowsky scaling, , with a diffusion coefficient . This is consistent with the anticipated StokesEinstein value, , where is Boltzmann's constant. Using the methods of Ref. (28), we then interpret the offsets obtained from linear fits to to be consistent with no worse than 1 nm accuracy for inplane positions and 10 nm for axial positions throughout the trajectory. The optical characterization of the particle's properties thus is consistent with the particle's measured dynamics.
We have successfully applied holographic characterization to colloidal spheres as small as 100 nm in diameter and as large as 10 . Unlike modelbased analytical methods, fitting to the exact LorenzMie scattering theory is robust and reliable over a far wider range of particle sizes, provided that care is taken to maintain numerical stability in calculating (3); (19); (20). Such numerical implementations have been reported for particles as small as a few nanometers and as large as a few millimeters, with relative refractive index ratios from less than to over 10, and with large imaginary refractive indexes. In all cases, the instrumental magnification and field of view must be selected to fit the sample.
The principal limitations of the sixparameter model in Eq. (4) are the assumptions that the scatterer is homogeneous and isotropic, and that its interface is sharp. These assumptions can be relaxed at the cost of increased complexity and reduced numerical robustness. For example, analytical results are available for coreshell particles (3), and for particles with more complex shapes (3); (11), such as ellipsoids, spherical clusters and cylindrical nanowires. All such elaborations involve additional adjustable parameters and thus are likely to pose computational challenges.
We have demonstrated that a single snapshot from an inline holographic microscope can be used to measure a colloidal sphere's position and size with nanometerscale resolution, and its refractive index with precision typically surpassing 1 percent.
A video stream of such images therefore constitutes a powerful sixdimensional microscopy for softmatter and biological systems. Holographic particle tracking is ideal for threedimensional microrheology, for measuring colloidal interactions and as force probes for biophysics. The methods we have described can be applied to tracking large numbers of particles in the field of view simultaneously for highly parallel measurements. Realtime singleparticle characterization and tracking of large particle ensembles will be invaluable in such applications as holographic assembly of photonic devices (37); (38). Applied to more highly structured samples such as biological cells and colloidal heterostructures, they could be used as a basis for cytometric analysis or combinatorial synthesis (39).
This work was supported by the National Science Foundation under Grant Number DMR0606415. SHL acknowledges support of the Kessler Family Foundation. GRY was supported by KBSI grant (N27073). KSH and SMY have been supported by the NCRI Center for Integrated Optofluidic Systems of MOST/KOSEF. We are grateful to Ahmet Demirörs for synthesizing the 1.4 diameter TiO particles.
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