Neutrophil Subpopulation Reporting Using Low-Angle Light Scatter
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Solution Overview
Problem
Conventional methods for enumerating Early Granulated Cells (EGCs) in blood samples are labor-intensive, prone to errors, costly, and require expensive fluorescent dyes or antibodies, failing to accurately distinguish EGCs from other leukocyte subpopulations, particularly neutrophils.
Innovation Solution
A method using low-angle light scatter (LALS) measurements in combination with other parameters like MALS, DC, and OP to differentiate and enumerate EGCs without fluorescent staining, enabling clear reporting of neutrophil subpopulations, including EGCs, in a non-fluorescent and cost-effective manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluorescent dyes or antibodies are used to enumerate EGCs, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the fluorescence detection capability from the system and replaces it with light scatter detection. By removing the fluorescent staining step and using inherent light scatter properties of cells, the method achieves EGC enumeration without requiring fluorescent dyes or antibodies, thus reducing device complexity while maintaining measurement precision
Solution Approach 2:
The patent substitutes the optical fluorescence detection system with a light scatter detection system. Instead of using fluorescent markers that require complex excitation and emission optics, the invention uses light scatter measurements at different angles to differentiate EGCs from other leukocytes, replacing a complex optical system with a simpler detection approach
2Measurement precision
If manual blood smear analysis is used to enumerate EGCs, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent enables the analyzer to automatically perform EGC enumeration without requiring manual blood smear analysis. The system uses automated light scatter measurements and computer algorithms to identify and count EGCs, making the process self-service and eliminating the need for manual intervention, thus maintaining high productivity while ensuring accurate enumeration
Solution Approach 2:
The patent replaces the manual visual inspection process with an automated optical detection system. By using light scatter measurements and automated image analysis, the system substitutes human operators with machine-based detection, maintaining measurement precision while dramatically improving productivity through automated high-throughput processing
3Device complexity
If conventional light scatter measurements are used to differentiate EGCs, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from conventional single-angle light scatter measurements to multi-angle light scatter detection. By measuring light scatter at multiple angles (including low-angle light scatter), the system creates a multi-dimensional parameter space that enables accurate differentiation of EGCs from other leukocytes while maintaining relatively simple device complexity
Solution Approach 2:
The patent changes the detection parameters by introducing low-angle light scatter measurements in addition to conventional light scatter parameters. This parameter expansion allows the system to capture additional physical characteristics of EGCs, improving measurement precision while keeping the device complexity manageable through parameter optimization rather than structural 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
Accurately identifies and enumerates EGCs with at least 80% accuracy, providing clear reporting of neutrophil subpopulations, reducing human error and costs associated with fluorescent methods.
Implementation Method 1
Measurements of physical properties, such as volume, conductivity, and light scatter, are used to classify cells
Implementation Method 2
A method using low-angle light scatter (LALS) measurements in combination with other parameters like MALS, DC, and OP to differentiate and enumerate EGCs
Data Source
AI summary
Methods and systems for detecting and reporting subpopulations of neutrophils may involve using a nonce parameter to elucidate one or more other cell population parameters. Methods and systems for detecting and reporting subpopulations of neutrophils may involve structuring reports to elucidate one or more cell population parameters, particularly, but not exclusively, where the report of a cell population parameter might otherwise be ambiguous or a higher than usual likelihood of confusion.