Beckman Coulter, Inc.

Jeffrey L Rose

Jiuliu Lu

Ted W Britton

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.

Detecting and handling coincidence in particle analysis

Pipelined digital processing circuitry for use with a particle size measurement system, such as that employed in automated hematology systems, measures the 'center' amplitude of a pulse produced by a particle or cell passing through a flow cell measurement aperture, such as the detection aperture of a Coulter Principle-based electronic particle analysis system. The circuitry of the invention processes successive pulse samples by means of a half-peak/half-width methodology that analyzes each pulse as its continuously sampled and temporarily stored in memory. Concurrent analysis of the data in memory during storage locates the pulse width at a prescribed percentage (e.g., 50%) of the peak amplitude of the pulse. This pulse width data is then processed to determine the pulse amplitude at the midpoint of the width of the pulse between its mid-peak values on rising edge and fall edge portions of the pulse.

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Pembroke Pines, FL, United States of America

Jeffrey L Rose