Beckman Coulter, Inc.

Coulter International Corp.

Iris International, Inc.

John Riley

Jiuliu Lu

Christophe P Godefroy

Patricio Vidal

Zihua Wang

Erik Alan Gustafson

Antonio Arevalo Reyes

Bart Jan Wanders

Todd Pendleton Lary

Cheng Qian

Christopher W Snow

Bian Qian

William H Gutierrez

Ken Good

Mark A Wells

Jose M Cano

Carlos A Perez

Malek Adjouadi

Phaisit Chewputtanagul

Shuliang Zhang

Valentin T Quesada

Eileen Landrum

Robert C Burr

Maritza Lavernia

Mark Rossman

A focusing distance (e.g., a distance between a focal plane of a camera used when n image was captured and the actual focal plane for an in-focus image) in a visual analysis system may be determined by subjecting one or more images captured by such a system to a multi-layer analysis. In such an analysis, an input may be subjected to one or more convolution filters, and the ultimate result of such convolution may be provided to a dense layer which can provide the focusing distance. This focusing distance may then be used to (re)focus a camera or for other purposes (e.g., generating an alert).

Focus quality determination through multi-layer processing

A method for dynamic focusing is presented that can be performed by a dynamic focusing controller that can receive images from the image capture device, and for each image, determine a border of the particle within the image, and calculate a pixel intensity ratio of the image based on the border of the particle. The dynamic focusing controller can also calculate a median pixel intensity ratio from the pixel intensity ratios for each image, determine a focal distance direction based on the median pixel intensity ratio, calculate a focal distance based on the median pixel intensity ratio when the focal distance direction is positive, and calculate the focal distance based on a median border width when the focal distance direction is negative. The autofocusing controller can then send an instruction to the focusing mechanism to adjust the image capture device by the focal distance in the focal distance direction.

Dynamic focus system and methods

The present invention provides methods and systems to combine the capabilities of a hematology analyzer with those of a flow cytometer to yield a far more powerful analytical system than either device alone. In one embodiment, a method of analyzing a cell sample includes receiving a first data generated by an analysis of a first aliquot of the sample on a first particle analyzer having a fluorescence measurement device such as a flow cytometer, detecting at least one unresolved cell population in the first data, and accessing a second data stored on a storage device wherein the second data was previously generated by interrogating a second aliquot of the sample using at least one of a cell volume measurement device and a cell conductivity measurement device in a second particle analyzer such as a hematology analyzer. The unresolved cell population in the first data is then resolved using the second data. Corresponding system embodiments are also disclosed.

Cross-instrument method and system for cell population discrimination

Embodiments of the present invention encompass automated systems and methods for analyzing immature platelet parameters in an individual based on a biological sample obtained from blood of the individual. Exemplary techniques involve correlating aspects of direct current (DC) impedance, radiofrequency (RF) conductivity, and/or light measurement data obtained from the biological sample with an evaluation of immature platelet conditions in the individual.

Immature platelet enumeration systems and methods

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.

Systems and methods for detecting the presence of a biological status using clustering

Systems and methods for identifying Methicillin resistant strains of(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-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-specific target gene sequence, the sample's measured copy numbers of mecA, SCCmec, and the-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.

Systems and methods for detecting the presence of a biological status using plot

Embodiments of the present invention encompass automated systems and methods for analyzing platelet parameters in an individual based on a biological sample obtained from blood of the individual. Exemplary techniques involve correlating aspects of direct current (DC) impedance and/or light measurement data obtained from the biological sample with an evaluation of platelet conditions in the individual.

Systems and methods for platelet count with clump adjustment

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.

Method and system for analyzing a blood sample

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. Also another method is disclosed, having the steps of: measuring the blood sample by a detection comprising an axial light loss measurement; identifying a hard-to-ghost cell population based on the axial light loss measurement; filtering-out the hard-to-ghost cell population; and analyzing the event data to identify blood cell distribution patterns.

Analyzing reticulocytes

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.

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.

Methods and systems for transforming particle data

The present invention relates to a hematology instrument system that discriminates platelets from red blood cells, debris and other particles within a blood sample. The instrument system uses an optical trigger and collects data at optical sensor locations relative to a flow cell-illuminating laser beam's optical axis. An axial sensor measures axial light loss due to a particle in the flow cell's illumination aperture. In addition, the instrument system can include an RF unit generates electrical parameters, such as DC and RF parameters, within the flow cell. Blood specimens can be prepared with and without a sphering agent.

Method and apparatus for performing platelet measurement

A stellar icon for representing multivariate data includes finger members corresponding to constituents of a sample with a length corresponding to an expression of an attribute of the constituent. The finger members are positioned on the base member so that the finger members corresponding to a constituent with an expression of attribute within a certain range are on the upper portion of the base member, and the finger members corresponding to a constituent with an expression of an attribute that is not in the range are positioned on the lower portion of the base member. A method and system for forming the stellar icon include forming a transformation table including data regarding the range and constituents and attributes to be represented. The transformation table is used to determine the relative position of each finger member on the base member and to determine the length of the finger member so that the length corresponds to the expression of the attribute.

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Miami, FL, United States of America

John Riley