Abstract: Aspects of the present disclosure include methods for identifying one or more components of a sample in a flow stream using a dynamic algorithm (e.g., a machine learning algorithm). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream, generating a data signal of parameters of the particles from the detected light, generating an image based on the data signal, comparing the image with one or more image classification parameters and classifying one or more components of the image using a dynamic algorithm that updates the image classification parameters based on the classified components in the image. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.

Abstract: Aspects of the present disclosure include methods for identifying one or more components of a sample in a flow stream using a dynamic algorithm (e.g., a machine learning algorithm). Methods according to certain embodiments include detecting light from a sample having particles in a flow stream, generating a data signal of parameters of the particles from the detected light, generating an image based on the data signal, comparing the image with one or more image classification parameters and classifying one or more components of the image using a dynamic algorithm that updates the image classification parameters based on the classified components in the image. Systems and integrated circuit devices programmed for practicing the subject methods, such as on a flow cytometer, are also provided.

Abstract: Data visualization features are described that provide synchronized displaying of interactive visualizations for high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: Data visualization features are described that provide synchronized displaying of interactive visualizations for high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: Data visualization features are described that provide a fast and accurate tool for displaying visualizations of high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization may be dynamically generated based on the measurements for the cell population and the resources available to the display device. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: Data visualization features are described that provide synchronized displaying of interactive visualizations for high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: Data visualization features are described that provide synchronized displaying of interactive visualizations for high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: Data visualization features are described that provide a fast and accurate tool for displaying visualizations of high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization may be dynamically generated based on the measurements for the cell population and the resources available to the display device. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.

Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.

Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.

Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.

Abstract: Apparatuses and methods for determining population boundaries are described. In one embodiment, population boundaries are determined using radial density histograms.

Abstract: The present invention provides automatic gating methods that are useful to gate populations of interest in multidimensional data, wherein the populations of interest are only a subset of the populations identifiable in the data. The populations are modeled as a finite mixture of multivariate probability distributions, preferably normal or t distributions. The distribution parameters that provide a best fit of the model distribution to the data are estimated using an Expectation Maximization (EM) algorithm that further includes a dynamic neighborhood thresholding that enables gating of a subset of the clusters present in the data.

Abstract: Apparatuses and methods for determining population boundaries are described. In one embodiment, population boundaries are determined using radial density histograms.

Abstract: The invention provides a method for determining the activation status of receptor tyrosine kinase (RTK) pathways in either cell samples or patient samples by measuring receptor dimerization and relative amounts of protein-protein complexes or activated effector proteins that are characteristic of an RTK pathway. The invention also provides a method of using such status information to select patients responsive to pathway-specific drugs, and more particularly, to methods for measuring ErbB receptors and receptor complexes and using such information to select patients responsive to ErbB pathway-specific drugs. Preferably, methods of the invention are implemented by using sets of binding compounds having releasable molecular tags that are specific for multiple components of one or more complexes formed in RTK activation. After binding, molecular tags are released and separated from the assay mixture for analysis.

Abstract: The invention provides a method for determining the activation status of receptor tyrosine kinase (RTK) pathways in either cell samples or patient samples by measuring receptor dimerization and relative amounts of protein-protein complexes or activated effector proteins that are characteristic of an RTK pathway. The invention also provides a method of using such status information to select patients responsive to pathway-specific drugs, and more particularly, to methods for measuring ErbB receptors and receptor complexes and using such information to select patients responsive to ErbB pathway-specific drugs. Preferably, methods of the invention are implemented by using sets of binding compounds having releasable molecular tags that are specific for multiple components of one or more complexes formed in RTK activation. After binding, molecular tags are released and separated from the assay mixture for analysis.

Abstract: The invention provides a method for determining the activation status of receptor tyrosine kinase (RTK) pathways in either cell samples or patient samples by measuring receptor dimerization and relative amounts of protein-protein complexes or activated effector proteins that are characteristic of an RTK pathway. The invention also provides a method of using such status information to select patients responsive to pathway-specific drugs, and more particularly, to methods for measuring ErbB receptors and receptor complexes and using such information to select patients responsive to ErbB pathway-specific drugs. Preferably, methods of the invention are implemented by using sets of binding compounds having releasable molecular tags that are specific for multiple components of one or more complexes formed in RTK activation. After binding, molecular tags are released and separated from the assay mixture for analysis.