General Electric Company

Morpho Detection, Inc.

Decision Sciences International Corporation

Young Kyo Lee

Yuri Alexeyevich Plotnikov

Michael James Sossong

Erik Edmund Magnuson

Sridhar Dasaratha

Robert David Penny

William Scott Sutherland

Matthew Steiger

Thirukazhukundram Subrahmaniam Vignesh

A volume interrogation system can use an accelerated beam of charged particles to interrogate objects using charged-particle attenuation and scattering tomography to screen items such as electronic devices, packages, baggage, industrial products, or food products for the presence of materials of interest inside. The apparatus, systems, and methods in this patent document can be employed in checkpoint applications to scan items. Such checkpoint applications can include border crossings, mass transit terminals (subways, buses, railways, ferries, etc.), and government and private-sector facilities.

Charged particle scanners

A method for imaging an object is provided. The method includes acquiring tomographic image data of the object at a plurality of frequencies, generating a composite image of the object at each of the plurality of frequencies using the acquired tomographic image data, determining a scaling factor for a first material at each of the plurality of frequencies, determining a scaling factor for a second material at each of the plurality of frequencies, and decomposing the composite images into a first discrete image and a second discrete image using the determined scaling factors, wherein the first discrete image contains any region of the object composed of the first material and the second discrete image contains any region of the object composed of the second material.

Systems and methods for object imaging

Methods, systems and computer program products for identifying components of an unknown mixture using spectral analysis techniques. The method includes comparing the spectrum of the unknown mixture with the spectra of library compounds to obtain candidate mixture combinations. A model is generated for each of the candidate mixture combinations based on a modeling metric. A residual spectrum is computed corresponding to each of the candidate mixture combinations by removing the spectrum of each of the compounds of the candidate mixture combination from the spectrum of the unknown mixture. One or more potential compounds are identified by comparing the residual spectrum with the spectrum of library compounds. The potential compounds are added to the candidate mixture combinations to generate an updated list of the candidate mixture combinations. The search algorithm repeats the steps described above on the updated candidate mixture combinations, until a first termination condition is satisfied.

Spectral searching method for substance identification

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San Diego, CA, United States of America

Young Kyo Lee