Principal Component Analysis for Cell Reaction Noise Reduction
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Solution Overview
Problem
Existing methods for non-invasively evaluating cultured cell or tissue activity using electrical reactions face challenges in accurately isolating signals from measurement electrodes, as multiple cells or tissues' reactions are reflected on the electrodes, and common noise and signals complicate determining which cells or tissues contribute to recorded electrical reactions.
Innovation Solution
An electric reaction measuring apparatus with measurement electrodes in separate chambers of a culture vessel, using principal component analysis to calculate and subtract common noise from measured potentials, allowing for accurate extraction of specific cell or tissue reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple measurement electrodes are used to measure electrical reactions of multiple cells or tissues, then the ability to evaluate cell or tissue activity is improved, but the difficulty in distinguishing common noise from specific signals increases
Solution Approach 1:
The patent extracts and removes the common noise component from the measured electrical signals using principal component analysis. By identifying and subtracting the common noise pattern from each electrode's measurement, the system isolates the specific signals corresponding to individual cell or tissue reactions, thereby resolving the difficulty in distinguishing noise from specific signals while maintaining the ability to evaluate multiple samples.
2Measurement precision
If principal component analysis is used to extract common noise, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex hardware filtering systems with a computational approach using principal component analysis. Instead of using additional physical filters or shielding to reduce noise, the system uses mathematical processing of the signal data to extract and remove common noise patterns, thereby achieving high measurement precision without proportionally increasing device complexity.
3Device complexity
If common noise is not reduced, then the device complexity is lower, but the measurement precision deteriorates
Solution Approach 1:
The patent introduces principal component analysis as an intermediary processing step between the measurement electrodes and the final signal output. This intermediary computational layer processes the raw signals from multiple electrodes, extracting and removing common noise patterns, thereby improving measurement precision without requiring complex hardware modifications or additional physical filtering components.
Data Source
AI summary
An electric reaction measuring apparatus measures a potential of each of measurement electrodes, which are respectively disposed in chambers in a culture vessel, with respect to at least one reference electrode. The electric reaction measuring apparatus includes at least one control circuit. A measurement object is disposed in each of the chambers. The at least one control circuit calculates at least one principal component for each of the measurement electrodes by performing principal component analysis of the potential of each of the measurement electrodes; estimates, for each of the measurement electrodes, a potential corresponding to the principal component from the principal component of the measurement electrode, and synthesizes the estimated potential; subtracts the synthesized potential of the measurement electrode from a potential measured at the measurement electrode; and outputs a potential after subtraction.