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US 11,380,085 B2Granted
Automatic assay assessment and normalization for image processing
AssigneeVentana Medical Systems, Inc.
InventorsYao Nie, Maria V. Sainz de Cea
Life of this patent
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Abstract
Disclosed herein are systems and methods for normalizing the titer of a first stain to a titer of the same stain in a template image. Also disclosed are methods of assessing stain titer levels.
Claims23
A method of normalizing a titer of a first stain within a query image to a titer of the first stain in a template image, the query image being of a biological sample stained with at least the first stain, comprising:
- deriving chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- aligning the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scaling the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates;
- and
- reconstructing an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize parameter values for an estimated titer level of the query image, and wherein the estimated titer level of the query image is determined by computing a weighted average titer score by:
- deriving a plurality of first stain image features from each of a series of patches in the query image;
- and
- classifying the plurality of first stain image features from each of the image patches using a titer-identification classifier.
6 more elements
A method of normalizing a titer of a first stain within a query image to a titer of the first stain in a template image, the query image being of a biological sample stained with at least the first stain, comprising:
- deriving chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- aligning the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scaling the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates;
- and
- reconstructing an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize parameter values for an estimated titer level of the query image, and wherein the weighted transformed chromatic distribution coordinates and the weighted transformed density distribution coordinates are derived by:
- computing probabilities that pixels are first stain pixels;
- and
- weighting the transformed chromatic distribution coordinates and the transformed density distribution coordinates with the computed probabilities.
6 more elements
A method of normalizing a titer of a first stain within a query image to a titer of the first stain in a template image, the query image being of a biological sample stained with at least the first stain, comprising:
- deriving chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- aligning the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scaling the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates, wherein the scaling the density distribution coordinates comprises transforming the density distribution coordinates to have the same weighted mean and weighted standard deviation as the template density distribution coordinates;
- and
- reconstructing an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize parameter values for an estimated titer level of the query image.
3 more elements
An imaging system comprising:
- one or more processors;
- and
- one or more memories coupled to the one or more processors, the one or more memories to store computer-executable instructions that, when executed by the one or more processors, cause the imaging system to:
- derive chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- align the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scale the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates;
- and
- reconstruct an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize parameter values for an estimated titer level of the query image, and wherein the estimated titer level of the query image is determined by computing a weighted average titer score by:
- deriving a plurality of first stain image features from each of a series of patches in the query image;
- and
- classifying the plurality of first stain image features from each of the image patches using a titer-identification classifier.
9 more elements
An imaging system comprising:
- one or more processors;
- and
- one or more memories coupled to the one or more processors, the one or more memories to store computer-executable instructions that, when executed by the one or more processors, cause the imaging system to:
- derive chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- align the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scale the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates, wherein the scaling the density distribution coordinates comprises transforming the density distribution coordinates to have the same weighted mean and weighted standard deviation as the template density distribution coordinates;
- and
- reconstruct an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize parameter values for an estimated titer level of the query image.
6 more elements
A non-transitory computer-readable medium storing instructions which, when executed by one or more processors of an imaging system, cause the imaging system to perform a method comprising:
- deriving chromatic distribution coordinates and density distribution coordinates in the query image within a color model which incorporates density information;
- aligning the chromatic distributions coordinates in the query image with template image chromatic distribution coordinates to provide transformed chromatic distribution coordinates;
- scaling the density distribution coordinates in the query image with template image density distribution coordinates to provide transformed density distribution coordinates;
- and
- reconstructing an RGB image by inversely transforming the query image within the color model incorporating the density information using weighted transformed chromatic distribution coordinates and weighted transformed density distribution coordinates,
- wherein the aligning and scaling utilize predetermined parameter values specific for an estimated titer level of the query image, and wherein the estimated titer level of the query image is determined by computing a weighted average titer score by:
- deriving a plurality of first stain image features from each of a series of patches in the query image;
- and
- classifying the plurality of first stain image features from each of the image patches using a titer-identification classifier.
6 more elements
Dependencies are inferred from the claim text.