Biological Sample Electrical Model Using Sub-Circuit Segmentation
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Solution Overview
Problem
Current methods for analyzing biological samples, such as electrical impedance tomography, face challenges in accurately determining electrical output signals and optimizing electrode settings to improve analysis performance and data quality.
Innovation Solution
A model representing the electrical properties of biological samples is created using sub-circuits that correspond to different cellular structures, allowing for the prediction of expected output signals and adjustment of electrode settings to enhance analysis accuracy and sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a model with sub-circuits representing cellular structures is used to determine expected output signals, then measurement precision and analysis accuracy are improved, but device complexity increases
Solution Approach 1:
The electrical model is segmented into multiple sub-circuits, where each sub-circuit represents a specific cellular structure (e.g., cell membrane, cytoplasm, organelles). This segmentation allows the complex biological system to be modeled through manageable modular components, each with specific electrical properties that can be independently characterized and combined to achieve high measurement precision.
Solution Approach 2:
The patent introduces an intermediate computational layer that processes raw electrode measurements through the sub-circuit model to derive expected output signals. This intermediary processing step acts as a mediator between the physical measurement system and the final analysis results, enabling accurate signal determination while managing model complexity through systematic computation.
2Measurement precision
If electrode settings are adjusted based on expected output signals from the model, then analysis performance and sensitivity are improved, but the time required for optimization increases
Solution Approach 1:
The patent performs preliminary computations using the sub-circuit model to predict expected output signals before actual measurements are taken. By pre-calculating the relationship between electrode settings and expected signals, the system establishes an optimized measurement protocol in advance, reducing the time required during actual analysis while maintaining high sensitivity.
Solution Approach 2:
The model-generated expected output signals provide feedback information that guides the adjustment of electrode settings. This feedback mechanism enables iterative optimization where predicted performance informs configuration adjustments, allowing the system to converge on optimal settings efficiently rather than through trial-and-error approaches.
Data Source
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AI summary
Examples of the disclosure relate to apparatus, methods and computer programs for analysis of biological samples. The apparatus comprising means for: obtaining a model representing electrical properties of a biological sample where the biological sample comprises a plurality of different cell types and the model comprises a plurality of different sub-circuits where the sub-circuits represent individual structures within cells of the biological sample such that the sub-circuits have electrical properties corresponding to the electrical properties of the cells; using the obtained model to determine expected output signals obtained in response to an electrical signal provided between two or more electrodes positioned on the biological sample; and using the expected output signals to adjust one or more settings of the electrodes.