Diagnostic Analyzer Calibration Using Polymer Beads and Weighted Averages
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Solution Overview
Problem
Current diagnostic analyzer calibration methods rely heavily on patient samples, requiring a large number of samples from each species to maintain calibration, and are inefficient in veterinary applications due to cost constraints and species-specific variations.
Innovation Solution
A processor-implemented method that adjusts laser settings and calibration factors using weighted moving averages and fuzzy logic to maintain analyzer calibration within permissible ranges, normalizing patient samples across species and utilizing polymer beads for initial tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patient samples are used for calibration, then species-specific accuracy is improved, but a large number of samples from each species are required
Solution Approach 1:
The system performs preliminary calibration using polymer beads with known properties to establish baseline calibration factors before analyzing patient samples. This preliminary action reduces the number of patient samples needed for subsequent species-specific calibration, as the polymer bead calibration provides a foundation that requires fewer additional samples to achieve accurate species-specific measurements.
Solution Approach 2:
Polymer beads serve as an intermediary calibration standard between fixed-cell controls and patient samples. These beads provide a species-agnostic reference point that mediates the calibration process, allowing the system to bridge the gap between universal calibration standards and species-specific patient samples, thereby reducing the total number of samples required.
2Stability of the object's composition
If fixed-cell controls are used for calibration, then calibration stability is improved, but species-specific variations cannot be adequately addressed
Solution Approach 1:
The system merges fixed-cell controls with polymer bead calibration and patient sample analysis into a unified calibration approach. Fixed-cell controls provide stable reference points, polymer beads provide species-agnostic calibration factors, and patient samples provide species-specific validation. This combination maintains calibration stability while addressing species-specific variations through the integration of multiple calibration methodologies.
Solution Approach 2:
The calibration system achieves universality by using polymer beads that can calibrate across multiple species simultaneously. The same polymer bead standards serve universal calibration functions for different animal species, while the system adapts these universal calibration factors to species-specific requirements through weighted moving average calculations on patient samples, thereby achieving both stability and adaptability.
3Measurement precision
If frequent control runs are performed, then calibration accuracy is maintained, but operational costs increase
Solution Approach 1:
The system performs self-calibration by automatically calculating calibration factors from patient samples using weighted moving averages. Instead of requiring frequent manual control runs, the analyzer service itself by continuously learning from patient data, adjusting calibration factors autonomously, and maintaining accuracy without external intervention or additional consumable costs.
Solution Approach 2:
The system implements continuous feedback by monitoring patient sample results and automatically adjusting calibration factors when deviations are detected. The weighted moving average calculation provides ongoing feedback on calibration performance, enabling the system to maintain accuracy through automated adjustments rather than frequent manual control runs, thereby reducing operational costs while preserving calibration precision.
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 approach enables continuous calibration of diagnostic analyzers with reduced need for frequent control runs, improving accuracy and reducing costs by leveraging patient samples and polymer beads for precise calibration adjustments.
Implementation Method 1
The analyzer uses laser modules to illuminate a sample (cell medium), emitting light in the visible region (380-700 nm) of the wavelength spectrum
Implementation Method 2
From here, light is scattered based on the refractive properties of anything within the cytoplasm of the cell medium or the surface shape and size of the cell
Implementation Method 3
light is scattered based on the refractive properties of anything within the cytoplasm of the cell medium
Implementation Method 4
The scattered light is converted into a voltage pulse, which embodies an analog signal that can be read
Data Source
AI summary
The present disclosure pertains to methods and systems that calibrate a diagnostic analyzer by first determining whether first diagnostic results exceed a predetermined threshold from a first diagnostic target and adjusting one or more laser settings for the diagnostic analyzer in response. New patient samples are interrogated by the diagnostic analyzer, using the adjusted laser parameters, to determine weighted averaged diagnostic results. In a case where the weighted averaged diagnostic results fall outside of the permissible range, multiplying factors for calibration factors that permit the weighted averaged diagnostic results to fall within the permissible range are determined, and the diagnostic analyzer is calibrated by adjusting the calibration factors corresponding to the parameters of the diagnostic analyzer based at least in part on the multiplying factors.