Abstract: A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element, a plurality of second input values associated with a second genetic element, and a plurality of third input values associated with a third genetic element associated with a plurality of samples. The method also includes determining a threshold value associated with the third genetic element, separating the samples using the threshold value into a first set of samples and a second set of samples, clustering the first set of samples in a feature space defined by the first genetic element and the second genetic element, defining a first boundary space using the first set of samples, and defining a second boundary space using the second set of samples.

Abstract: A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element, a plurality of second input values associated with a second genetic element, and a plurality of third input values associated with a third genetic element associated with a plurality of samples. The method also includes determining a threshold value associated with the third genetic element, separating the samples using the threshold value into a first set of samples and a second set of samples, clustering the first set of samples in a feature space defined by the first genetic element and the second genetic element, defining a first boundary space using the first set of samples, and defining a second boundary space using the second set of samples.

Abstract: Systems and methods for identifying Methicillin resistant strains of Staphylococcus aureus (MRSA) in a sample are used that are based on the fact that an MRSA positive sample should have roughly the same copy numbers of mecA, SCCmec, and a Staphylococcus aureus-specific target gene sequence. The systems and methods may further present the three assays simultaneously on a 2-D plot with each axis of the plot 120 degrees apart. According to one embodiment, a Y plot is used for the 2-D display. If a given sample has similar readings of mecA, SCCmec, and a Staphylococcus aureus-specific target gene sequence, the sample's measured copy numbers of mecA, SCCmec, and the Staphylococcus aureus-specific target gene sequence can plot close to the origin regardless of the sample's absolute assay readings. With the help of this transformation, a boundary function can be defined that can be used to distinguish MRSA-positive samples from MRSA-negative samples.

Abstract: Methods, systems, and computer program products for the analysis of a blood sample are disclosed. One embodiment is a method of detecting and enumerating hard-to-ghost cells in a blood sample. Another embodiments is a method of analyzing reticulocytes in a blood sample. Methods of using blood count parameters are also provided.

Abstract: Methods, systems, and computer program products for the analysis of a blood sample are disclosed. One embodiment is a method of detecting and enumerating hard-to-ghost cells in a blood sample. Another embodiments is a method of analyzing reticulocytes in a blood sample. Methods of using blood count parameters are also provided.

Abstract: Methods, systems, and computer program products for the analysis of a blood sample are disclosed. One embodiment is a method of detecting and enumerating hard-to-ghost cells in a blood sample. Another embodiments is a method of analyzing reticulocytes in a blood sample. Methods of using blood count parameters are also provided.

Abstract: Methods, systems, and computer program products for the analysis of particle analyzer data are disclosed. One embodiment is a method of analyzing immature reticulocytes in a blood sample, including the steps of: preprocessing the blood sample; measuring the blood sample by a detection including a reticulocyte-maturity measurement and a light scatter measurement; analyzing blood cell distribution patterns to identify a set of reticulocyte events; differentiating immature reticulocytes from mature reticulocytes using the reticulocyte-maturity measurement and the light scatter measurement; and reporting immature reticulocytes. The immature reticulocyte fraction may be one aspect that is reported.

Abstract: A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element (e.g., mecA), a plurality of second input values associated with a second genetic element (femA), and a plurality of third input values associated with a third genetic element (e.g., orfX) associated with a plurality of samples. Each sample includes a first input value in the plurality of first input values, a second input value in the plurality of second input values, and a third input value in the plurality of third input values.

Abstract: Systems and methods for identifying Methicillin resistant strains of Staphylococcus aureus (MRSA) in a sample are used that are based on the fact that an MRSA positive sample should have roughly the same copy numbers of mecA, SCCmec, and a Staphylococcus aureus-specific target gene sequence. The systems and methods may further present the three assays simultaneously on a 2-D plot with each axis of the plot 120 degrees apart. According to one embodiment, a Y plot is used for the 2-D display. If a given sample has similar readings of mecA, SCCmec, and a Staphylococcus aureus-specific target gene sequence, the sample's measured copy numbers of mecA, SCCmec, and the Staphylococcus aureus-specific target gene sequence can plot close to the origin regardless of the sample's absolute assay readings. With the help of this transformation, a boundary function can be defined that can be used to distinguish MRSA-positive samples from MRSA-negative samples.

Abstract: In an embodiment, a computer-implemented method is provided for processing data from a particle analyzer. The method includes transforming data using at least one transform that provides: transformation according to a weighted combination of a first mathematical function and a logarithmic function for positive data values, such that the transformation corresponds to the first mathematical function for positive particle data values approaching zero, and to the logarithmic function for positive particle data values approaching infinity; and transformation corresponding to a second mathematical function for negative data values. The transformed data may be then output for display or storage. In another embodiment, the transforming involves substituting the particle data for an independent variable in the transform to directly obtain values to be plotted based on the input particle data values.

Abstract: A method for determining the presence of a biological entity. The method may include entering into a digital computer, at least a plurality of first input values associated with a first genetic element (e.g., mecA), a plurality of second input values associated with a second genetic element (femA), and a plurality of third input values associated with a third genetic element (e.g., orfX) associated with a plurality of samples. Each sample includes a first input value in the plurality of first input values, a second input value in the plurality of second input values, and a third input value in the plurality of third input values.

Abstract: Methods, systems, and computer program products for the analysis of a blood sample are disclosed. One embodiment is a method of detecting and enumerating hard-to-ghost cells in a blood sample. Another embodiments is a method of analyzing reticulocytes in a blood sample. Methods of using blood count parameters are also provided.

Abstract: Methods, systems, and computer program products for the analysis of particle analyzer data are disclosed. One embodiment is a method of analyzing immature reticulocytes in a blood sample, including the steps of: preprocessing the blood sample; measuring the blood sample by a detection including a reticulocyte-maturity measurement and a light scatter measurement; analyzing blood cell distribution patterns to identify a set of reticulocyte events; differentiating immature reticulocytes from mature reticulocytes using the reticulocyte-maturity measurement and the light scatter measurement; and reporting immature reticulocytes. The immature reticulocyte fraction may be one aspect that is reported.

Abstract: In an embodiment, a computer-implemented method is provided for processing data from a particle analyzer. The method includes transforming data using at least one transform that provides: transformation according to a weighted combination of a first mathematical function and a logarithmic function for positive data values, such that the transformation corresponds to the first mathematical function for positive particle data values approaching zero, and to the logarithmic function for positive particle data values approaching infinity; and transformation corresponding to a second mathematical function for negative data values. The transformed data may be then output for display or storage. In another embodiment, the transforming involves substituting the particle data for an independent variable in the transform to directly obtain values to be plotted based on the input particle data values.