Abstract: Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.

Abstract: Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.

Abstract: Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.

Abstract: Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

Abstract: It is possible that an analyzer may be operated such that it may perform tests to identify the presence or absence of a specified condition. Such tests may be performed using behaviors which are specific to the specified condition, and the results of those tests may be presented in a single output.

Abstract: Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

Abstract: Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

Abstract: Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.

Abstract: It is possible that an analyzer may be operated such that it may perform tests to identify the presence or absence of a specified condition. Such tests may be performed using behaviors which are specific to the specified condition, and the results of those tests may be presented in a single output.

Abstract: Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

Abstract: Methods and systems for automatically identifying and enumerating early granulated cells (EGC) in blood samples are disclosed. In one embodiment a method for identifying EGC in a blood sample includes analyzing white blood cells of the blood sample using a low angle light scatter (LALS) parameter, separating the EGCs from the other white blood cells using the LALS parameter, and enumerating the separated EGCs.

Abstract: In accordance with the principles of the invention, methods, systems, and computer-readable mediums are provided for positioning cellular analysis data including measuring a similarity between pixel data in a target sample data and pixel data in a template data. An offset position is determined based on the measured similarity. The pixel data in the template data is shifted based on the offset position to produce shifted template data having pixel data at shifted locations which match the corresponding pixel data in the target sample data.

Abstract: Methods and systems for automatically identifying and enumerating early granulated cells (EGC) in blood samples are disclosed. In one embodiment a method for identifying EGC in a blood sample includes analyzing white blood cells of the blood sample using a low angle light scatter (LALS) parameter, separating the EGCs from the other white blood cells using the LALS parameter, and enumerating the separated EGCs.

Abstract: Systems and methods for multidimensional particle analysis data cluster mapping and reconstruction are provided. In one embodiment, a method for reconstructing multidimensional particle analysis data clusters is provided. The method includes obtaining a set of segmented two-dimensional projections corresponding to multidimensional particle analysis data associated with a biological sample of particles. Each segmented two-dimensional projection has two-dimensional clusters associated with particle populations in the biological sample. The method also includes reconstructing one or more multidimensional clusters based on the two-dimensional clusters in the segmented two-dimensional projections.

Abstract: Systems and methods for non-linear histogram segmentation for particle analysis are provided. In one embodiment, a method for analyzing particles comprises creating an initial two-dimensional histogram based on two selected parameters of the particles, filtering the initial two-dimensional histogram to generate a filtered two-dimensional image, detecting a plurality of seed populations in the filtered two-dimensional image, generating one or more linear contour lines, each having a plurality of contour points, to separate the detected seed populations, and adjusting the contour points in at least one of the linear contour lines to separate the detected seed populations.

Abstract: Systems and methods for multidimensional particle analysis data cluster mapping and reconstruction are provided. In one embodiment, a method for reconstructing multidimensional particle analysis data clusters is provided. The method includes obtaining a set of segmented two-dimensional projections corresponding to multidimensional particle analysis data associated with a biological sample of particles. Each segmented two-dimensional projection has two-dimensional clusters associated with particle populations in the biological sample. The method also includes reconstructing one or more multidimensional clusters based on the two-dimensional clusters in the segmented two-dimensional projections.

Abstract: Systems and methods for non-linear histogram segmentation for particle analysis are provided. In one embodiment, a method for analyzing particles comprises creating an initial two-dimensional histogram based on two selected parameters of the particles, filtering the initial two-dimensional histogram to generate a filtered two-dimensional image, detecting a plurality of seed populations in the filtered two-dimensional image, generating one or more linear contour lines, each having a plurality of contour points, to separate the detected seed populations, and adjusting the contour points in at least one of the linear contour lines to separate the detected seed populations.

Abstract: In accordance with the principles of the invention, methods, systems, and computer-readable mediums are provided for positioning cellular analysis data including measuring a similarity between pixel data in a target sample data and pixel data in a template data. An offset position is determined based on the measured similarity. The pixel data in the template data is shifted based on the offset position to produce shifted template data having pixel data at shifted locations which match the corresponding pixel data in the target sample data.

Abstract: Degradable polyimides are prepared in high yield by polymerizing a monomer containing at least two anhydride groups, and a monomer containing at least two primary amine groups and at least one acidic group, in bulk or in a solvent. The polyimides are very strong in terms of their mechanical properties, yet degradable under standard physiological conditions.