ChemFET Electroscopic Imaging for Cell Region Segmentation
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Solution Overview
Problem
Existing methods for analyzing cells on sensor arrays lack efficient techniques for visualizing and segmenting cell locations and background regions, limiting the ability to monitor cellular responses and metabolic activities effectively.
Innovation Solution
A method involving a ChemFET sensor array that generates electroscopic image data through a pH step change, followed by image segmentation to identify cell and background regions, allowing for the acquisition and processing of multiple frames to analyze cell characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cell analysis methods are used on sensor arrays, then the analysis can be performed, but the visualization and segmentation of cell locations and background regions is inefficient and lacks resolution
Solution Approach 1:
The patent replaces traditional mechanical/optical imaging systems with an electrochemical sensing system. ChemFET sensors detect pH changes caused by cellular metabolism, converting biological activity into electrical signals that form electroscopic images. This substitution enables high-resolution cell visualization without mechanical scanning, simultaneously improving measurement precision and data collection rate.
Solution Approach 2:
The patent changes the detection parameter from optical properties to electrochemical parameters (pH). By monitoring pH changes in the microenvironment around cells using ChemFET sensors, the system achieves high-resolution cell detection. The pH step change method further enhances contrast by creating distinct pH gradients between cell regions and background regions, improving segmentation accuracy.
2Measurement precision
If high-resolution cell visualization is achieved, then subcellular monitoring is enabled, but the system complexity increases
Solution Approach 1:
The patent segments the sensor array into multiple independent ChemFET sensors, each detecting pH at a specific location. The electroscopic image is segmented into cell regions and background regions based on pH signal characteristics. This segmentation approach simplifies the processing by treating each sensor independently while collectively achieving high-resolution cell region identification.
Solution Approach 2:
The patent introduces pH as an intermediary parameter between cellular metabolism and detection. Instead of directly imaging cells, the system detects pH changes in the extracellular environment caused by cellular metabolic activity. This intermediary approach simplifies the detection mechanism while enabling indirect high-resolution monitoring of cell regions and their microenvironment.
3Loss of time
If multiple frames of electroscopic image data are acquired, then cellular responses can be monitored over time, but the data processing load increases
Solution Approach 1:
The patent implements continuous acquisition of electroscopic image data at high temporal resolution, capturing cellular responses in real-time. The ChemFET sensor array continuously monitors pH changes across all sensor locations simultaneously, maintaining uninterrupted data collection. This continuous monitoring enables temporal analysis of cellular responses without requiring complex intermittent sampling and processing.
Solution Approach 2:
The patent enables the sensor array system to automatically process and segment electroscopic image data without requiring external intervention. The system self-manages the acquisition, processing, and analysis of multiple frames, identifying cell regions and tracking their responses over time. This self-service capability reduces the processing burden by automating the entire data pipeline from acquisition to analysis.
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
Enables high-resolution visualization and segmentation of cells on sensor arrays, facilitating subcellular monitoring and analysis of cellular responses and metabolic activities with enhanced data collection rates.
Implementation Method 1
a plurality of ChemFET sensors of the ChemFET sensor array generate a plurality of signals in response to the step change in pH of the flowed solution
Data Source
AI summary
Analyzing cells disposed on a sensor array surface of a ChemFET sensor array, may include flowing a solution having a step change in pH across the sensor array surface, wherein ChemFET sensors of the sensor array generate signals in response to the step change in pH to produce electroscopic image data. Multiple frames of the electroscopic image data are acquired during an acquisition time interval. Each frame corresponds to signal samples generated by the sensor array measured at a sampling time during the acquisition time interval. Each frame comprises pixels, wherein a given pixel in the frame corresponds to a signal sample from a given sensor in the sensor array. The electroscopic image data is segmented, based on characteristics of the signal samples, into cell regions corresponding to locations of the cells on the sensor array surface and background regions corresponding to areas on the sensor array having no cells.