Hematology Analyzer Control Material Using Cell Distribution Widths
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Solution Overview
Problem
Current hematology analyzers face challenges in accurately monitoring clinical conditions such as sepsis and systemic inflammatory response syndrome due to the lack of reliable and long-lasting control materials, which are essential for ensuring instrument operational integrity and precise blood cell analysis.
Innovation Solution
A control material comprising a first and second cell population is used, allowing the hematology analyzer to determine cell distribution widths and classify its operational status, enabling the detection of infection-related parameters like monocyte distribution width over an extended period of 14 days.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fresh human blood is used as a whole blood standard for quality control, then measurement precision is maintained, but the duration of action is limited to one day
Solution Approach 1:
The patent creates artificial control particles that replicate the key characteristics of real blood cells (size, volume, light scattering properties, fluorescence properties) without using actual biological material. These synthetic copies maintain measurement precision while eliminating the one-day limitation of fresh human blood, enabling long-term quality control.
Solution Approach 2:
The patent modifies the physical and chemical parameters of control particles to match blood cell characteristics. By adjusting size distribution, refractive index, fluorescence intensity, and light scattering properties, the artificial particles provide accurate quality control measurements while achieving extended stability and longevity beyond fresh blood constraints.
2Measurement precision
If control particles are designed to simulate multiple characteristics of blood cells, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent divides the control particle system into distinct functional components: size-simulating particles, light-scattering particles, and fluorescence-emitting particles. Each component addresses a specific measurement requirement, allowing the system to achieve comprehensive quality control accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The patent designs control particles that simultaneously perform multiple functions: they simulate blood cell size, scatter light to mimic cellular optical properties, emit fluorescence for identification, and remain stable for long-term storage. This multi-functionality reduces the need for separate control materials for different measurement types, thereby managing overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances the accuracy and reliability of hematology analyzers in detecting infections by ensuring proper instrument functionality and reducing the need for frequent recalibration and sample retesting, thereby improving patient prognosis and reducing mortality rates associated with undetected sepsis.
Implementation Method 1
a transducer for obtaining current data for a control material as the control material passes through an aperture
Data Source
AI summary
Instances of the present technology may include a method for operating a hematology analyzer. The method may include passing a control material through a hematology analyzer. The control material may include a first cell population and a second cell population. The method may also include determining a first cell population volume measurement and a second cell population volume measurement. A first value of a first cell population distribution width and a second value of a second cell population distribution width may be calculated. The method may include comparing the first value to a first reference range. The method may also include comparing the second value to a second reference range. Furthermore, the method may include classifying an operational status of the hematology analyzer based on the comparison of the first value to the first reference range and based on the comparison of the second value to the second reference range.