David B. Ruffner
New York University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by David B. Ruffner.
Physical Review Letters | 2012
David B. Ruffner; David G. Grier
The spin angular momentum in an elliptically polarized beam of light plays several noteworthy roles in optical traps. It contributes to the linear momentum density in a nonuniform beam, and thus to the radiation pressure exerted on illuminated objects. It can be converted into orbital angular momentum, and thus can exert torques even on optically isotropic objects. Its curl, moreover, contributes to both forces and torques without spin-to-orbit conversion. We demonstrate these effects experimentally by tracking colloidal spheres diffusing in elliptically polarized optical tweezers. Clusters of spheres circulate deterministically about the beams axis. A single sphere, by contrast, undergoes stochastic Brownian vortex circulation that maps out the optical force field.
Journal of Pharmaceutical Sciences | 2016
Chen Wang; Xiao Zhong; David B. Ruffner; Alexandra Stutt; Laura A. Philips; Michael D. Ward; David G. Grier
We demonstrate how holographic video microscopy can be used to detect, count, and characterize individual micrometer-scale protein aggregates as they flow down a microfluidic channel in their native buffer. Holographic characterization directly measures the radius and refractive index of subvisible protein aggregates and offers insights into their morphologies. The measurement proceeds fast enough to build up population averages for time-resolved studies and lends itself to tracking trends in protein aggregation arising from changing environmental factors. Information on individual particles refractive indexes can be used to differentiate protein aggregates from such contaminants as silicone droplets. These capabilities are demonstrated through measurements on samples of bovine pancreas insulin aggregated through centrifugation and of bovine serum albumin aggregated by complexation with a polyelectrolyte. Differentiation is demonstrated with samples that have been spiked with separately characterized silicone spheres. Holographic characterization measurements are compared with results obtained with microflow imaging and dynamic light scattering.
Soft Matter | 2016
Chen Wang; Fook Chiong Cheong; David B. Ruffner; Xiao Zhong; Michael D. Ward; David G. Grier
In-line holographic microscopy images of micrometer-scale fractal aggregates can be interpreted with an effective-sphere model to obtain each aggregates size and the population-averaged fractal dimension. We demonstrate this technique experimentally using model fractal clusters of polystyrene nanoparticles and fractal protein aggregates composed of bovine serum albumin and bovine pancreas insulin.
Water Research | 2017
Laura A. Philips; David B. Ruffner; Fook Chiong Cheong; Jaroslaw M. Blusewicz; Priya Kasimbeg; Basma Waisi; Jeffrey R. McCutcheon; David G. Grier
Determining the size distribution and composition of particles suspended in water can be challenging in heterogeneous multicomponent samples. Light scattering techniques can measure the distribution of particle sizes, but provide no basis for distinguishing different types of particles. Direct imaging techniques can categorize particles by shape, but offer few insights into their composition. Holographic characterization meets this need by directly measuring the size, refractive index, and three-dimensional position of individual particles in a suspension. The ability to measure an individual colloidal particles refractive index is a unique capability of holographic characterization. Holographic characterization is fast enough, moreover, to build up population distribution data in real time, and to track time variations in the concentrations of different dispersed populations of particles. We demonstrate these capabilities using a model system consisting of polystyrene microbeads co-dispersed with bacteria in an oil-in-water emulsion. We also demonstrate how the holographic fingerprint of different contaminants can contribute to identifying their source.
Applied Physics Letters | 2017
Fook Chiong Cheong; Priya Kasimbeg; David B. Ruffner; Ei Hnin Hlaing; Jaroslaw M. Blusewicz; Laura A. Philips; David G. Grier
Holographic particle characterization uses in-line holographic microscopy and the Lorenz-Mie theory of light scattering to measure the diameter and the refractive index of individual colloidal particles in their native dispersions. This wealth of information has proved invaluable in fields as diverse as soft-matter physics, biopharmaceuticals, wastewater management, and food science but so far has been available only for dispersions in transparent media. Here, we demonstrate that holographic characterization can yield precise and accurate results even when the particles of interest are dispersed in turbid media. By elucidating how multiple light scattering contributes to image formation in holographic microscopy, we establish the range conditions under which holographic characterization can reliably probe turbid samples. We validate the technique with measurements on model colloidal spheres dispersed in commercial nanoparticle slurries.
Journal of Pharmaceutical Sciences | 2018
Priya Kasimbeg; Fook Chiong Cheong; David B. Ruffner; Jaroslaw M. Blusewicz; Laura A. Philips
Characterizing protein aggregates in the presence of silicone oil is a long standing challenge for the pharmaceutical industry. Silicone oil is often used as a lubricant in devices that deliver and store therapeutic protein products and has been linked to protein aggregation, which can compromise a drugs effectiveness or cause autoimmune responses in patients. Most traditional technologies cannot quantitatively distinguish protein aggregates and silicone oil in their native formulations for sizes less than 5 μm. We use holographic video microscopy to study protein aggregation to demonstrate its capability to quantitatively distinguish protein aggregates and silicone oil in the presence of varying amounts of the surfactants SDS and polysorbate 80 in the size range of 0.5-10 μm without the need for dilution or special sample preparation. We show that SDS denatures proteins and stabilizes silicone oil. We also show that polysorbate 80 may limit protein aggregate formation if it is added to an IgG solution before introducing silicone oil.
Physical Review Letters | 2012
David B. Ruffner; David G. Grier
Physical Review Letters | 2013
David B. Ruffner; David G. Grier
Applied Physics Letters | 2013
Hagay Shpaisman; David B. Ruffner; David G. Grier
Physical Review A | 2016
Aaron Yevick; David B. Ruffner; David G. Grier