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US 7,248,370 B2Granted
Method to reduce background noise in a spectrum
AssigneeCaleb Brett USA, Inc.
InventorChristopher M. Jones
Life of this patent
Estimating the term…
Abstract
An embodiment includes a method to reduce background noise in a spectrum. A further embodiment includes a method to reduce, by at least about two orders of magnitude, background noise in an experimental absorbance spectrum. Further, an embodiment includes a machine-readable medium that provides instructions, which when executed by a machine, reduce background noise in a spectrum. Further, an embodiment includes a machine-readable medium that provides instructions, which when executed by a machine, reduce, by at least two orders of magnitude, background noise in an experimental absorbance spectrum.
Claims44
A method to reduce background noise comprising at least one of random noise and structured noise in a sample substance spectrum, the method comprising:
- (a) contacting a blank sample with electromagnetic radiation, sufficient to obtain a background spectrum;
- (b) performing an intrinsic dimension analysis on the background spectrum, sufficient to obtain multiple correlations between variables in the background spectrum;
- (c) identifying and retaining the intrinsic dimensionality of the variables in the background spectrum;
- (d) contacting a sample of the substance with electromagnetic radiation, sufficient to obtain a sample spectrum exhibiting said background noise;
- (e) performing a regression analysis on the sample spectrum, based upon known characteristics of pure substances, effective to provide a simulation spectrum;
- (f) mathematically operating at least part of the simulation spectrum with at least part of the sample spectrum effective to provide a residual spectrum;
- (g) projecting at least part of the residual spectrum onto the intrinsic dimensionality of the background spectrum, effective to identify any etalons present in the residual spectrum;
- (h) mathematically operating the etalon with the sample spectrum, effective to provide a substance sample spectrum having reduced background noise;
- and
- (i) storing the spectrum of the substance sample having reduced background noise into a machine-readable medium.
7 more elements
A method to reduce, by at least about 2 orders of magnitude, background noise comprising at least one of random noise and structured noise in a sample absorbance spectrum of a substance, the method comprising:
- (a) contacting a blank sample with infrared energy, sufficient to obtain a background spectrum;
- (b) performing a principal component analysis (PCA) on the background spectrum, sufficient to obtain multiple correlations between variables in the background spectrum;
- (c) identifying and retaining the intrinsic dimensionality of the variables in the background spectrum;
- (d) contacting a sample of the substance with infrared energy, sufficient to obtain a sample spectrum exhibiting said background noise;
- (e) performing a multivariate curve resolution-alternating least squares (MCR-ALS) analysis on the sample spectrum, based upon known characteristics of pure substances, effective to provide a simulation spectrum;
- (f) subtracting at least part of the simulation spectrum from at least part of the sample spectrum, effective to provide a residual spectrum;
- (g) projecting at least part of the residual spectrum onto the intrinsic dimensionality of the background spectrum, effective to identify any etalons present in the residual spectrum;
- (h) removing the etalon from the sample spectrum, effective to provide a substance sample spectrum having reduced background noise;
- and
- (i) storing the spectrum of the substance sample having reduced background noise into a machine-readable medium.
7 more elements
A method to reduce background noise comprising at least one of random noise and structured noise in a sample spectrum of a substance, the method comprising:
- (a) contacting a blank sample with electromagnetic radiation, sufficient to obtain a background spectrum;
- (b) performing an intrinsic dimension analysis on the background spectrum, sufficient to obtain multiple correlations between variables in the background spectrum;
- (c) identifying and retaining the intrinsic dimensionality of the variables in the background spectrum;
- (d) contacting a sample of the substance with electromagnetic radiation, sufficient to obtain a sample spectrum exhibiting undesirable background noise;
- (e) performing an intrinsic dimension analysis on the background spectrum and sample spectrum simultaneously, sufficient to obtain multiple correlations between variables in the background spectrum and sample spectrum;
- (f) identifying and retaining the common intrinsic dimensionality of the variables in the background spectrum and sample spectrum;
- (g) projecting the common intrinsic dimensionality of the background and sample spectra onto the intrinsic dimensionality of the background spectrum, sufficient to provide a residual spectrum;
- (h) mathematically operating the residual spectrum with the sample spectrum, effective to provide a sample spectrum of the substance having reduced background noise;
- and
- (i) storing the spectrum of the substance sample having reduced background noise into a machine-readable medium.
7 more elements
A method to reduce background noise comprising at least one of random noise and structured noise in a sample spectrum of a substance, the method comprising:
- (a) contacting a blank sample with electromagnetic radiation, sufficient to obtain a background spectrum;
- (b) performing an intrinsic dimension analysis on the background spectrum, sufficient to obtain multiple correlations between variables in the background spectrum;
- (c) identifying and retaining the intrinsic dimensionality of the variables in the background spectrum;
- (d) contacting a sample of the substance with electromagnetic radiation, sufficient to obtain a sample spectrum exhibiting said background noise;
- (e) performing an intrinsic dimension analysis on the background spectrum and sample spectrum simultaneously, sufficient to obtain multiple correlations between variables in the background spectrum and sample spectrum;
- (f) identifying and retaining the common intrinsic dimensionality of the variables in the background spectrum and sample spectrum;
- (g) projecting the common intrinsic dimensionality of the variables in the background and sample spectra onto the background spectrum, sufficient to provide a residual spectrum;
- (h) performing an intrinsic dimension analysis on the background and residual spectra simultaneously, sufficient to obtain multiple correlations between variables in the background spectrum and residual spectrum;
- (i) identifying and retaining the common intrinsic dimensionality of the variables in the background spectrum and residual spectrum;
- (j) re-projecting the common intrinsic dimensionality of the background spectrum and residual spectrum onto the intrinsic dimensionality of the background spectrum, sufficient to provide a second residual spectrum;
- (k) mathematically operating the second residual spectrum with the sample spectrum, effective to provide a sample spectrum of the substance having reduced background noise;
- and
- (l) storing the spectrum of the substance sample having reduced background noise into a machine-readable medium.
10 more elements
Dependencies are inferred from the claim text.