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US 2013/0170728 A1Published application
Process and system for analyzing the expression of biomarkers in a cell
AssigneeGeneral Electric Company
InventorsBrion Daryl Sarachan, Thomas Paul Repoff, Colin Craig McCulloch, Fiona Mary Ginty, Megan Pearl Rothney, Zhengyu Pang
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Abstract
The invention relates generally to a process of analyzing and visualizing the expression of biomarkers in an individual cell wherein the cell is examined to develop patterns of expression by using a grouping algorithm, and a system to perform and display the analysis.
Claims25
A process comprising:
- a. creating a dataset comprising a plurality of data points, each data point representative of the level of expression of multiple biomarkers in an individual cell;
- b. interrogating said dataset for data points having a similar pattern of expression of said biomarkers using a computer algorithm wherein such similarity is determined by a numerical analysis that uses the level of expression of each biomarker as at least a semi-continuous variable;
- c. identifying the two or more data points with minimum variance;
- d. grouping the data points having the minimum variance together to create a group of biomarkers whose members have a similar biomarker expression profile and assigning said group a new biomarker expression profile represented by a new data point in a new dataset, wherein said new data point is based on a central value for each attribute considered by said algorithm;
- and
- e. repeating steps b, c, and d until a predetermined number of groups is generated.
3 more elements
A process for displaying cells within a cellular sample comprising:
- a. acquiring a digital image of a cell using multiplex sequential staining to identify biomarkers within the cell;
- b. creating a dataset comprising a plurality of data points, each data point representative of the level of expression of multiple biomarkers in an individual cell;
- c. interrogating said dataset for data points having a similar pattern of expression of said biomarkers using a computer algorithm wherein such similarity is determined by a numerical analysis that uses the level of expression of each biomarker as at least a semi-continuous variable;
- d. identifying the two or more data points with minimum variance;
- e. grouping the data points having the minimum variance together to create a group of biomarkers whose members have a similar biomarker expression profile and assigning said group a new biomarker expression profile represented by a new data point in a new dataset, wherein said new data point is based on a central value for each attribute considered by said algorithm;
- f. repeating steps c, d, and e until a predetermined number of groups is generated;
- and
- g. creating an image of one of one or more groups wherein the image is registered to the digital image of the cell and by which each group is given a visible desgination that they belong to the same group.
5 more elements
An image analysis system for displaying cells comprising:
- an imaging device adapted to capture the a digital image of the cell using multiplex sequential staining to identify biomarkers within the cell;
- a processing device adapted to perform the steps of;
- a. acquiring a digital image of a cell using multiplex sequential staining to identify biomarkers within the cell;
- b. creating a dataset comprising a plurality of data points, each data point representative of the level of expression of multiple biomarkers in an individual cell;
- c. interrogating said dataset for data points having a similar pattern of expression of said biomarkers using a computer algorithm wherein such similarity is determined by a numerical analysis that uses the level of expression of each biomarker as at least a semi-continuous variable;
- d. identifying the two or more data points with minimum variance;
- e. grouping the data points having the minimum variance together to create a group of biomarkers whose members have a similar biomarker expression profile and assigning said group a new biomarker expression profile represented by a new data point in a new dataset, wherein said new data point is based on a central value for each attribute considered by said algorithm;
- f. repeating steps c, d, and e until a predetermined number of groups is generated;
- and
- g. creating an image of one of one or more groups wherein the image is registered to the digital image of the cell and by which each group is given a visible desgination that they belong to the same group.
7 more elements
Dependencies are inferred from the claim text.