Agent detection in the presence of background clutter
First Claim
1. A method of detecting an agent in a bulk sample including at least one background constituent, comprising:
- utilizing a measurement modality to interrogate the sample with electromagnetic radiation so as to generate spectral data corresponding thereto,deriving principal components of the sample spectral data,applying a rotate-and-suppress transformation to said principal components of the sample data, wherein said transformation suppresses a contribution of at least one background constituent, if present, andcomparing said transformed principal components of the sample data with background-suppressed principal components of corresponding spectral data of an agent to determine whether said agent is present in the bulk sample.
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Abstract
The present invention generally provides systems and methods for detection of agents of interest in a bulk quantity of matter, which also contains clutter and other constituents that typically interfere with the detection of one or more agents of interest. A detection system of the invention generally contains a collection subsystem for obtaining a bulk sample, an interrogation subsystem for generating one or more analytical signals representative of the composition of the bulk sample, and an analytical subsystem according to the teachings of the invention that implements the methods and algorithms of the invention for analyzing the sample analytical signals to determine whether one or more agents of interest are present, e.g., at quantities above a certain threshold, in the bulk sample.
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Citations
18 Claims
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1. A method of detecting an agent in a bulk sample including at least one background constituent, comprising:
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utilizing a measurement modality to interrogate the sample with electromagnetic radiation so as to generate spectral data corresponding thereto, deriving principal components of the sample spectral data, applying a rotate-and-suppress transformation to said principal components of the sample data, wherein said transformation suppresses a contribution of at least one background constituent, if present, and comparing said transformed principal components of the sample data with background-suppressed principal components of corresponding spectral data of an agent to determine whether said agent is present in the bulk sample. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of processing spectral data taken from a sample, comprising
utilizing a plurality of measurement modalities to interrogate the sample with electromagnetic radiation so as to generate a plurality of sets of spectral data each corresponding to one of said modalities, combining the plurality of sets of spectral data into a composite feature vector, and transforming said composite feature vector into a single principal component vector.
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14. A method of detecting an agent in a bulk sample including at least one background constituent, comprising:
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utilizing a plurality of measurement modalities to interrogate the sample with electromagnetic radiation so as to generate a plurality of sets of spectral data each corresponding to one of said modalities, combining the plurality of sets of spectral data into a composite feature vector, transforming said feature vector into a principal component vector, applying a rotate-and-suppress transformation to said principal component vector, wherein said transformation suppresses a contribution of said background constituent, if present, to said vector, and comparing said transformed principal component vector with a respective background-suppressed agent vector to determine whether said agent is present in the bulk sample. - View Dependent Claims (15, 16, 17)
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18. A system for detecting an agent in a bulk sample having at least one background constituent, comprising:
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a background library for storing data corresponding to at least one background constituent, an agent library for storing principal components of measurement data corresponding to said agent, a preprocessing module in communication with said libraries and adapted to receive measurement data corresponding to a test sample, said module calculating a rotate and suppress transformation and applying said rotate-and-suppress transformation to measurement data corresponding to said test sample so as to generate transformed principal component vectors corresponding to the test sample, wherein said transformation suppresses said background constituent, if present in the test sample, said preprocessing module further applying said transformation to the agent so as to generate background-suppressed principal component vectors corresponding to the agent, and an agent detection module in communication with said preprocessing module to receive said transformed principal component vectors corresponding to the agent and the sample, said agent detection module comparing said vectors to determine whether said agent is present in the sample.
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Specification