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US 8,265,360 B2Granted
Methods and systems for analyzing ratiometric data
AssigneeUniversity of Georgia Research Foundation, Inc.
InventorsAndrew T. Sornborger, James D. Lauderdale, Charles H. Keith, Josef M. Broder, Jeremy L. Praissman
Life of this patent
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Abstract
Systems and methods for analyzing ratiometric data, e.g., ratiometric image data such as fluorescent image data, may generate a correlation matrix for the ratiometric data, generate a plurality of eigenvalues and a plurality of eigenvectors based on the correlation matrix, select a set of eigenvectors from the plurality of eigenvectors, and reconstruct a set of enhanced ratiometric data for use in analysis.
Claims43
A computer-implemented method for use in analysis of image data comprising:
- providing a ratiometric dataset representative of image data obtained over time for use in analysis of one or more objects of interest, wherein providing the ratiometric dataset comprises:
- providing a first wavelength dataset representative of a plurality of frames of image data taken over time at a first wavelength;
- providing a second wavelength dataset representative of a plurality of frames of image data taken over time at a second wavelength, wherein the image data for the second wavelength dataset is taken at the same time as the image data for the first wavelength dataset;
- and
- comparing the first wavelength dataset with the second wavelength dataset to provide the ratiometric dataset;
- generating a correlation matrix for the ratiometric dataset;
- generating a plurality of eigenvalues and a plurality of eigenvectors based on the correlation matrix;
- selecting a set of eigenvectors from the plurality of eigenvectors;
- and
- reconstructing a set of enhanced ratiometric images for use in analysis of the one or more objects of interest, wherein the set of enhanced ratiometric images is reconstructed using the set of eigenvectors, the first wavelength dataset, and the second wavelength dataset.
7 more elements
A computer-implemented method for use in analysis of image data comprising:
- providing two or more ratiometric datasets representative of image data obtained over time for use in analysis of one or more objects of interest, wherein providing each of the two or more ratiometric datasets comprises:
- providing a first wavelength dataset representative of image data taken over time at a first wavelength;
- providing a second wavelength dataset representative of image data taken over time at a second wavelength;
- and
- comparing the first wavelength dataset with the second wavelength dataset to provide each of the two or more ratiometric datasets;
- generating a correlation matrix for each of the two or more ratiometric datasets;
- generating a summed correlation matrix by summing the correlation matrices generated for each of the two or more ratiometric datasets;
- generating a plurality of eigenvalues and a plurality of eigenvectors based on the summed correlation matrix;
- selecting a set of eigenvectors from the plurality of eigenvectors;
- and
- reconstructing at least one set of enhanced ratiometric images for use in analysis of the one or more objects of interest, each set of enhanced ratiometric images corresponding to a ratiometric dataset of the two or more ratiometric datasets, wherein the at least one set of enhanced ratiometric images is reconstructed using the set of eigenvectors and the first and second wavelength dataset used to provide the corresponding ratiometric dataset.
8 more elements
A computer-implemented method for use in analysis of measurement data comprising:
- providing one or more ratiometric datasets representative of measurement data obtained over time for use in analysis of one or more objects of interest, wherein providing each of the one or more the ratiometric datasets comprises:
- providing a first dataset representative of measurement data comprising a plurality of measurements taken at a plurality of different moments over time;
- providing a second dataset representative of measurement data comprising a plurality of measurements taken at a plurality of different moments over time, wherein the measurement data for the second dataset is taken at the same time as the measurement data for the first dataset;
- and
- comparing the first dataset with the second dataset to provide each of the one or more ratiometric datasets;
- generating a correlation matrix for the one or more ratiometric datasets;
- generating a plurality of eigenvalues and a plurality of eigenvectors based on the correlation matrix;
- selecting a set of eigenvectors from the plurality of eigenvectors;
- and
- reconstructing at least one set of enhanced ratiometric measurement data for use in analysis of the one or more objects of interest, each set of enhanced ratiometric measurement data corresponding to a ratiometric dataset of the one or more ratiometric datasets, wherein the at least one set of enhanced ratiometric measurement data is reconstructed using the set of eigenvectors and the first and second dataset used to provide the corresponding ratiometric dataset.
7 more elements
A computer program for use in conjunction with a processing apparatus to analyze ratiometric data, wherein the computer program is stored on a non-transitory computer readable storage medium and is operable when used with the processing apparatus to:
- recognize one or more ratiometric datasets representative of measurement data obtained over time for use in analysis of one or more objects of interest, wherein each of the one or more ratiometric datasets comprises a first dataset representative of measurement data comprising a plurality of measurements taken at a plurality of different moments over time compared with a second dataset representative of measurement data comprising a plurality of measurements taken at a plurality of different moments over time, wherein the measurement data for the second dataset is taken at the same time as the measurement data for the first dataset;
- generate a correlation matrix for the one or more ratiometric datasets;
- generate a plurality of eigenvalues and a plurality of eigenvectors based on the correlation matrix;
- select a set of eigenvectors from the plurality of eigenvectors;
- and
- reconstruct at least one set of enhanced ratiometric measurement data for use in analysis of the one or more objects of interest, each set of enhanced ratiometric measurement data corresponding to a ratiometric dataset of the one or more ratiometric datasets, wherein the at least one set of enhanced ratiometric measurement data is reconstructed using the set of eigenvectors and the first and second dataset used to provide the corresponding ratiometric dataset.
3 more elements
Dependencies are inferred from the claim text.