New York University

The University of Chicago

Arryx, Inc

Arch Development Corporation

Spheryx, Inc.

Harvard College

Princeton University

Government of the United States of America, As Represented by the Secretary of Commerce

National Science Foundation

Premium Genetics (uk) Limited

David G Grier

Fook Chiong Cheong

Eric R Dufresne

Sang-Hyuk Lee

Jennifer E Curtis

Brian A Koss

Yohai Roichman

Ke Xiao

Yael Roichman

Ward Lopes

David B Ruffner

Laura A Philips

Kosta Ladavac

Ilias Cholis

Aaron Yevick

Mark Hannel

Lewis S Gruber

Chen Wang

Sven Holger Behrens

Marco Polin

Joseph Plewa

Paul Michael Chaikin

Paul Joseph Steinhardt

Weining Man

Michael D Ward

Kenneth Forbes Bradley

David Pine

Robert Lancelot

Pamela T Korda

Xiao Zhong

Hagay Shpaisman

Jesse J Elliott

Mary Ann Odete

Bhaskar Jyoti Krishnatreya

Charles M Lieber

Kent Kirshenbaum

Andrew Hollingsworth

Ritesh Agarwal

Robert W Lancelot

Joy M Barker

Guihua Yu

Bo Sun

Jesse Amato-Grill

Annemarie Winters

Elisabeth R Shanblatt

Kaitlynn Snyder

Lauren E Altman

Rushna Quddus

Joseph S Plewa

Bhaskar Jyoti Krishnatrya

Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.

Colloidal fingerprints for soft materials using total holographic characterization

An in-line holographic microscope can be used to analyze a video stream to track individual colloidal particles' three-dimensional motions. The system and method can provide real time nanometer resolution, and simultaneously measure particle sizes and refractive indexes. An assay using the holographic microscope for holographic particle characterization directly detect viruses, antibodies and related targets binding to the surfaces of specifically functionalized micrometer-scale colloidal probe beads. The system detects binding of targets by directly measuring associated changes in the bead's diameter without the need for downstream labeling and analysis.

Automated holographic video microscopy assay

Holographic Video Microscopy analysis of non-spherical particles is disclosed herein. Properties of the particles are determined by application of light scattering theory to holography data. Effective sphere theory is applied to provide information regarding the reflective index of a sphere that includes a target particle. Known particles may be co-dispersed with unknown particles in a medium and the holographic video microscopy is used to determine properties, such as porosity, of the unknown particles.

Holographic characterization of irregular particles

An in-line holographic microscope can be used to analyze on a frame-by-frame basis a video stream to track individual colloidal particles' three-dimensional motions. The system and method can provide real time nanometer resolution, and simultaneously measure particle sizes and refractive indexes. Through a combination of applying a combination of Lorenz-Mie analysis with selected hardware and software methods, this analysis can be carried out in near real time. An efficient particle identification methodology automates initial position estimation with sufficient accuracy to enable unattended holographic tracking and characterization.

Automated real-time particle characterization and three-dimensional velocimetry with holographic video microscopy

Systems and methods for holographic characterization of protein aggregates. Size and refractive index of individual aggregates in a solution can be determined. Information regarding morphology and porosity can be extracted from holographic data.

Holographic characterization of protein aggregates

A method and system for identification of holographic tracking and identification of features of an object. A holograph is created from scattering off the object, intensity gradients are established for a plurality of pixels in the holograms, the direction of the intensity gradient is determined and those directions analyzed to identify features of the object and enables tracking of the object. Machine learning devices can be trained to estimate particle properties from holographic information.

Fast feature identification for holographic tracking and characterization of colloidal particles

Impurities within a sample are detected by use of holographic video microscopy. The sample flows through the microscope and holographic images are generated. The holographic image is analyzed to identify regions associated with large impurities in the sample. The contribution of the particles of the sample to the holographic images is determined and the impurities are characterized.

Holographic detection and characterization of large impurity particles in precision slurries

Holograms of colloidal dispersions encode comprehensive information about individual particles' three-dimensional positions, sizes and optical properties. Extracting that information typically is computation-ally intensive, and thus slow. Machine-learning techniques based on support vector machines (SVMs) can analyze holographic video microscopy data in real time on low-power computers. The resulting stream of precise particle-resolved tracking and characterization data provides unparalleled insights into the composition and dynamics of colloidal dispersions and enables applications ranging from basic research to process control and quality assurance.

Machine-learning approach to holographic particle characterization

Holographic video microscopy yields fast and accurate measurements of the size and refractive index of individual colloidal particles. Particle-resolved characterization offers useful insights into the progress of colloidal synthesis without relying on models for the distributions of particle sizes and properties, and can be performed rapidly enough to provide feedback for process control. The measured increase in the most probable radius over the course of the reaction is consistent with the LaMer model for colloidal growth. Uniformity in the measured refractive index suggests that the spheres grow with uniform density. The joint distribution of size and refractive index provides evidence for a low rate of nucleation proceeding after the initial nucleation event. The same analysis reveals that these PDMS particles shrink by compactification in the first few days after their synthesis.

In-line particle characterization

A method for analyzing porosity of a particle and a medium disposed in the porosity of the particle. A video-holographic microscope is provided to analyze interference patterns produced by providing a laser source to output a collimated beam, scattering the collimated beam off a particle and interacting with an unscattered beam to generate the interference pattern for analyzation to determine the refractive index of the particle and a medium disposed in the porosity of the particle to measure porosity and the medium.

Method and system for measuring porosity of particles

In-line holography to create images of a specimen, such as one or more particles dispersed in a transparent medium. Analyzing these images with results from light scattering theory yields the particles' sizes with nanometer resolution, their refractive indexes to within one part in a thousand, and their three dimensional positions with nanometer resolution. This procedure can rapidly and directly characterize mechanical, optical and chemical properties of the specimen and its medium.

Tracking and characterizing particles with holographic video microscopy

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New York, NY, United States of America

David G Grier