New York University

Bhaskar Jyoti Krishnatreya

David G Grier

Aaron Yevick

Mark Hannel

Hagay Shpaisman

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

An in-line holographic microscope is used for measurements of micrometer-scale particles and associated suspending fluid medium containing the particles. The system yields heterodyne scattering patterns that may be interpreted with Lorenz-Mie theory to obtain precise time-resolved information on the refractive index of the suspending medium for determining chemical composition, concentrations and makeup thereof. This approach can perform spatially resolved refractometry with measurements on calibrated refractive index standards and monitor chemical concentration in a microfluidic channel. Using commercially available colloidal spheres as probe particles and a standard video camera for detection yields volumetric refractive index measurements with a resolution of 2&#xd7;10RIU for each probe particle in each holographic snapshot.

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New York, NY, United States of America

Bhaskar Jyoti Krishnatreya