Capacitance Sensor Array for Single-Cell Resolution
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Solution Overview
Problem
Existing cellular assays lack single-cell resolution and real-time monitoring capabilities, limiting their ability to efficiently quantify biocompatibility, cytotoxicity, and biochemical mechanisms, and are not suitable for high-throughput analysis.
Innovation Solution
A microsystems-based cell assay technique using CMOS-integrated capacitance sensors to measure cell proliferation and classify cellular events such as mitosis and migration in real-time, combined with a temporal pattern recognition process to extract relevant biological data from capacitance measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cellular assay techniques are used, then cell culture monitoring can be performed, but single-cell resolution and real-time monitoring capabilities are lacking
Solution Approach 1:
The patent divides the monitoring task into individual sensor elements arranged in arrays, where each sensor can potentially resolve single-cell events. The segmentation of the sensor array allows simultaneous monitoring of multiple cells across different locations, achieving both single-cell resolution and high throughput through parallel measurement capabilities
Solution Approach 2:
The patent transitions from traditional bulk measurement approaches to spatially-resolved measurements using sensor arrays. By adding the spatial dimension through multiple sensor elements positioned at different locations, the system achieves single-cell resolution while maintaining high throughput through parallel acquisition across the array
2Duration of action of stationary object
If capacitive sensing methods are used for long-term monitoring, then cell proliferation can be measured, but the ability to monitor life-cycle events at single-cell level is limited
Solution Approach 1:
The patent employs dynamic measurement protocols with varying frequencies adapted to different monitoring needs. High-frequency measurements capture rapid single-cell events like mitosis, while lower-frequency measurements enable long-term monitoring of cell proliferation trends, allowing the system to optimize between event detection precision and long-term monitoring capability
Solution Approach 2:
The patent combines multiple measurement capabilities within a single capacitive sensing platform. By merging the ability to detect both rapid single-cell events and long-term proliferation trends through the same sensor array infrastructure, the system achieves comprehensive monitoring without sacrificing either temporal resolution or measurement precision
3Quantity of substance
If existing assay techniques are used, then cell culture quantification can be performed, but real-time monitoring of cellular events is difficult
Solution Approach 1:
The patent implements continuous, real-time measurement capabilities through the sensor array system. Instead of discrete sampling, the system continuously monitors cellular events as they occur, eliminating time delays and providing immediate detection of cell proliferation, viability changes, and other biological processes without interruption
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 single-cell resolution and high-throughput analysis, providing real-time monitoring of cellular events and improving the assessment of cell viability and functionality, particularly for cancer cell characterization like CAR T-cells, by accurately identifying and classifying micro-scale cell properties.
Implementation Method 1
Capacitive sensing is a potential alternative to achieve both single-cell resolution and high throughput. The system comprises a cell culture well for housing cells under study and a CMOS-integrated capacitance sensor array for measuring cell proliferation in real-time.
Data Source
AI summary
A system and method utilize capacitance sensor data to identify cell events with single-cell resolution. The method identifies patterns in the sensor data related to events such as mitosis, migration-in to the sensor field, and migration-out. The system may include a processor co-located with the sensor to perform the pattern recognition. Further, microfluidic channels can be provided to direct cells to the sensors.