Assay Site Parameterization for Microarray Analysis Accuracy
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Solution Overview
Problem
Automated analysis of chemical assays in arrays is prone to errors, especially when dealing with unforeseen effects or marginal responses, as existing systems lack the ability to adapt parameters specific to each assay site, leading to inefficiencies and inaccuracies.
Innovation Solution
A computer-implemented method that processes images of assay sites to determine site-specific parameters and metrics, allowing for unique criteria and thresholds for each site, enabling accurate assessment of reaction extent by comparing image metrics to reference functions and applying logic tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated determination of response is used, then throughput is high and speed is fast, but accuracy deteriorates due to errors in edge cases and unforeseen effects
Solution Approach 1:
The system applies different analysis parameters and criteria specific to each assay site or type within the array. By localizing the analysis parameters to match the specific characteristics of each reaction site, the system maintains high throughput while improving accuracy for edge cases and unforeseen effects that require site-specific evaluation
Solution Approach 2:
The system dynamically adjusts analysis parameters based on the specific assay type and reaction characteristics at each site. This dynamic parameter adjustment allows the automated system to adapt to different assay conditions, maintaining both high throughput and improved accuracy by selecting appropriate analysis criteria for each specific case
2Measurement precision
If manual review of response is performed, then accuracy is improved through expertise and human judgement, but productivity is low and time consumption is high
Solution Approach 1:
The system introduces an intermediary layer of site-specific parameterized analysis between automated image processing and final interpretation. This intermediary analysis layer applies expert-knowledge-based parameters to automated analysis, capturing human expertise in a computable form that maintains high throughput while improving accuracy for edge cases
Solution Approach 2:
The system replaces manual human review with an automated parameterized analysis system that incorporates expert knowledge. By substituting mechanical human judgement with an automated system using site-specific parameters and criteria, the system achieves both high throughput and improved accuracy for automated determination
3Adaptability or versatility
If different assays are performed in different print areas, then versatility is improved, but device complexity increases due to need for multiple parameter sets
Solution Approach 1:
The system segments the array into different assay site types, each with its own parameter set. By dividing the array into distinct segments or zones corresponding to different assay types, the system manages complexity through organized parameter groups while maintaining versatility for diverse assays across the array
Solution Approach 2:
The system uses a universal parameter management framework that can handle multiple assay types through a common interface and data structure. This universal approach allows different assay types to be managed within a single system architecture, reducing overall complexity while maintaining versatility
Data Source
AI summary
A computer implemented method of analysing assays performed at respective assay sites of an array or microarray that comprises a plurality of assay sites, the method comprising receiving at least one image of the assay sites of the array or microarray; for each of the assay sites, processing the at least one image to determine at least one metric representative of the degree of reaction at that assay site; for each of the assay sites, determining one or more parameters for that assay site, wherein the one or more parameters for at least one of the assay sites of the array or microarray are different from the one or more parameters for at least one other of the assay sites of the array or microarray; and for each of the assay sites, determining an extent of the reaction at that assay site from the at least one metric for that assay site and the one or more parameters for that assay site. Also disclosed is a correspondingly configured computerized analysis system.