Idexx Laboratories, Inc.

Jeremy Hammond

James Russell

Jui Ming Lin

Timothy Butcher

Dominic Pelletier

Jason Aguiar

Aravind Reghu

Chandler G Sinnett

Jeffrey Eric Phelps

Dennis DeNicola

William J Traigle

Jeffrey Phelps

A method for presenting flow cytometry data includes accessing sensed data of a flow cytometer used to sense optical responses from a sample including a plurality of components; estimating optical characteristic values, physical characteristic values, and counts of the plurality of components based on the sensed data; transforming at least some of the optical characteristic values, the physical characteristic values, or the counts, of at least one of the plurality of components, by at least one of rotating or translating, to provide transformed values; and presenting a two-dimensional (2D) dot plot base on the transformed values and based on at least some of the optical characteristic values, the physical characteristic values, and the counts, of the plurality of components. The 2D dot plot has a first axis corresponding to the optical characteristic values and a second axis corresponding to the physical characteristic values.

Flow cytometry systems and methods for presenting two-dimensional dot plot

In aspects, a system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

Quality control for point-of-care diagnostic systems

A method for determining the density of particles includes passing a carrier fluid and particles through a fractionation cell at a predetermined rate, where the carrier fluid has a predetermined density, the fractionation cell has a housing including a first axial end and a second axial end and the fractionation cell defines an interior carrier fluid flow-through channel, and an upper fluid outlet and a lower fluid outlet positioned below the upper fluid outlet, passing the carrier fluid and the particles through the upper fluid outlet and the lower fluid outlet, measuring a first concentration of particles passing through the upper fluid outlet, measuring a second concentration of particles passing through the lower fluid outlet, and determining a density of the particles based at least in part on the first concentration and the second concentration of particles.

Methods for determining the density of polymer particles for quality control materials using split flow thin (SPLITT) cell fractionation principle and fractionation cell for carrying out the methods

The present disclosure relates to quality control for point-of-care medical diagnostic systems. In various embodiments, the system includes an on-board storage containing a synthetic quality control material, a plurality of sub-systems having a plurality of operating parameters and including a material analyzer, a database storing quality control results that include results of the material analyzer analyzing the synthetic quality control material over time, one or more processors, and at least one memory storing instructions which, when executed by the one or more processors, cause the system to, automatically without user intervention: generate a control chart based on the quality control results, determine that a parameter of the plurality of operating parameters is out-of-tolerance based on the control chart, and adjust at least one of the plurality of sub-systems without user intervention to bring the out-of-tolerance parameter to within tolerance.

A method for detecting bacteria and determining the concentration thereof in a liquid sample includes the steps of taking an optical section through a container holding a volume of the liquid sample at a predetermined field of view and at a predetermined focal plane depth or angle and after a period of time has elapsed to allow non-bacteria in the sample to settle to the bottom of the container. Since bacteria auto arranges in the liquid sample, forming a lattice-like grid pattern, an optical section through the volume of auto-arranged bacteria may be used to measure the quantity of bacteria residing in that section. A container for holding the liquid sample has particular structure which aids in separating the non-bacteria from the bacteria.

Method and device for detecting bacteria and determining the concentration thereof in a liquid sample

An automated method for calibrating in real time a diagnostic analyzer includes the steps of receiving diagnostic results of patient samples calculated by the analyzer using pre-set parameters of the analyzer, and calculating the centroid of the analyzer's diagnostic results. The centroid of the analyzer's diagnostic results is subtracted from a centroid of diagnostic results of a field population of comparable analyzers to obtain a bias in the centroid of the analyzer's diagnostic results. The bias is compared to predetermined limits. Should the bias fall outside the predetermined limits, an optimization factor is derived and applied to the analyzer's diagnostic results to obtain optimized results from the analyzer without changing the pre-set parameters of the analyzer.

Automated calibration method and system for a diagnostic analyzer

A method to track stability and performance of diagnostic instrumentation, especially for veterinary automated hematology analyzers, applies a weighted moving averages algorithm to the diagnostic results of patient samples calculated by the analyzer. Control chart rules are used to set limits or ranges in order to determine if weighted averaged diagnostic results are within or outside of such limits or ranges. If the weighted average diagnostic results are outside of such control chart rule limits, then fuzzy logic and a gradient descent algorithm are applied to the weighted averaged diagnostic results.

A pipette tip includes a main body having an upper end, a lower end and a sidewall extending between the two ends. A bore extends axially through the main body between the upper and lower ends. The lower end has a bottom surface in which is formed a central opening that communicates with the axial bore to allow the passage of fluid therethrough. The bottom surface is formed with at least one groove that may be concentrically disposed or spirally disposed about the central opening. The at least one groove acts to inhibit fluid passing through the central opening from at least partially flowing along the outer surface of the sidewall from the central opening toward the upper end of the main body of the pipette tip.

Growing community of inventors

Standish, ME, United States of America

Jeremy Hammond