Circular Plot Analysis Agent for Genomic Data Interpretation
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Solution Overview
Problem
Complex genomic circular plots present a challenge for computing devices to provide exact interpretations due to fine detail loss in image capture and lack of standard definitions, limiting their ability to initiate meaningful actions from captured images.
Innovation Solution
A computing device with a circular plot analysis agent that digitally transforms and interprets circular plots by detecting perimeters, edges, and endpoints, generating plot descriptors to initiate transactions, such as queries or prescriptions, using edge detection algorithms and affine transforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If circular plots condense large amounts of information into compact form, then information density is improved, but detailed information becomes difficult to locate and assess
Solution Approach 1:
The patent segments the circular plot analysis into distinct processing stages: image capture, digital transformation to correct skew, perimeter detection, edge detection, endpoint identification, and descriptor generation. This segmentation allows the system to efficiently process different aspects of the plot separately, maintaining high information density while enabling rapid location of specific details through structured analysis.
Solution Approach 2:
The patent introduces plot descriptors as an intermediary representation that bridges the compact circular plot and detailed information extraction. These descriptors capture key features (endpoints, edges, perimeter characteristics) in a structured format that enables quick querying and comparison without requiring direct visual inspection of the entire circular plot, thus reducing time to locate detailed information.
2Ease of operation
If image capture is used to obtain circular plots, then accessibility is improved, but fine detail loss occurs
Solution Approach 1:
The patent applies digital transformation (affine transform) as a preliminary action to correct skew in the captured circular plot image before proceeding with analysis. This pre-processing step restores the geometric accuracy of the plot, compensating for the distortion introduced by image capture and ensuring that subsequent measurements and detections maintain high precision despite the initial image fidelity limitations.
Solution Approach 2:
The patent replaces reliance on high-fidelity physical image capture with computational image processing techniques. Instead of requiring perfect image quality from the capture device, the system uses digital transformation and advanced detection algorithms (perimeter detection, edge detection) to extract accurate geometric information, substituting mechanical/image quality requirements with computational processing.
3Measurement precision
If complex analysis algorithms are applied to circular plots, then interpretation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the complex analysis into modular detection stages: perimeter detection, edge detection within perimeter, endpoint identification from edges, and descriptor generation. Each stage processes a specific aspect of the plot with dedicated algorithms, reducing the computational burden compared to a monolithic complex analysis approach while maintaining high interpretation accuracy through cumulative refinement.
Solution Approach 2:
The patent extracts only the essential features needed for accurate interpretation: perimeter characteristics, edge locations, endpoint positions, and derived descriptors. By taking out and focusing on these key features rather than processing all image data equally, the system achieves high interpretation accuracy with reduced computational complexity, eliminating unnecessary processing of non-critical information.
Data Source
AI summary
A device includes software instructions for a circular plot analysis agent and at least one circular plot definition. The circular plot analysis agent obtains a digital image of a circular plot, detects a perimeter of the circular plot within the digital image, detects a plurality of edges within the perimeter, identifies a set of endpoints on the perimeter as a function of the plurality of edges, generates a plot descriptor from the set of endpoints, and initiates a transaction with a second device as a function of the plot descriptor.