| Patent application number | Description | Published |
|---|
| 20100023274 | Methods and Systems for Transforming Particle Data - 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. | 01-28-2010 |
| 20100088066 | Shape Parameter For Hematology Instruments - Systems, methods, and computer program products are provided for describing characteristics of a data sample. This description is used to represent the shape of a histogram of the data sample. | 04-08-2010 |
| 20100090677 | Detecting and Handling Coincidence in Particle Analysis - Methods and systems substantially eliminate data representative of coincident events from particle analyzer data. A fluid sample containing particles for analysis is prepared. Using an electrical or optical measurement device, signals are sensed. Each signal corresponds to events detected in a sub-sample of the fluid sample flowing through a measurement region in the particle analyzer. The existence of coincidence in the events is determined based on measuring a peak and first and second points of each of the signals. The first and second points have a signal value corresponding to a predetermined portion of the peak. Results data based upon the coincident events and non-coincident events is generated. The results data is then analyzed. In various examples, the method is applicable to a variety of particle types, and may be implemented on different types of particle analyzers including hematology analyzer and flow cytometers. | 04-15-2010 |
| 20100110103 | Multidimensional Particle Analysis Data Cluster Reconstruction - 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. | 05-06-2010 |
| 20100159605 | Method of Correction of Particle Interference to Hemoglobin Measurement - A method of correction of particle interference to hemoglobin measurement of a blood sample on a hematology analyzer is provided. The method includes mixing an aliquot of a blood sample with a lytic reagent to lyse red blood cells and forming a sample mixture; measuring absorbance of the sample mixture at a predetermined wavelength of a hemoglobin chromogen formed in the sample mixture, and obtaining an apparent hemoglobin concentration of the blood sample using obtained absorbance; measuring concentration and size of cellular particles remaining in the sample mixture; removing contribution of the cellular particles to the apparent hemoglobin concentration using the concentration and the size of the cellular particles to obtain a corrected hemoglobin concentration of the blood sample; and reporting the corrected hemoglobin concentration of the blood sample. | 06-24-2010 |
| 20110131159 | SYSTEMS AND METHODS FOR DETECTING THE PRESENCE OF A BIOLOGICAL STATUS USING CLUSTERING - 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. 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. The first and second boundary spaces differentiate a biological entity from other biological statuses. Other embodiments may also include the use of a genetic element such as SCCmec. | 06-02-2011 |
