Linear Sensor Array for Real-Time Particle Detection in Microfluidics
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Solution Overview
Problem
Current systems for identifying, tracking, and sorting cells, particles, and droplets in microfluidic channels lack the speed and accuracy required for real-time characterization and sorting, particularly in biomedical applications where precise identification and manipulation of particles or droplets are necessary.
Innovation Solution
A system utilizing a linear charge-coupled or complementary metal-oxide-semiconductor sensor, combined with an optical system, to detect and track particles or droplets in a channel, allowing for real-time identification, characterization, and sorting based on size, position, and other attributes by modulating a separate device such as an electrode or valve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image sensors are used to detect particles in microfluidic channels, then the system can identify and track particles, but the speed and accuracy of real-time characterization and sorting is insufficient
Solution Approach 1:
The patent divides the detection task into multiple independent linear sensors positioned at different locations along the microfluidic channel. Each sensor independently detects particles at its specific position, enabling parallel processing of multiple particles simultaneously. This segmentation approach increases throughput (productivity) while maintaining individual particle detection accuracy through dedicated sensing elements.
Solution Approach 2:
The patent transitions from conventional 2D image sensing to 1D linear sensing along the channel axis. By positioning linear sensors at multiple discrete locations along the flow direction, the system creates a distributed detection architecture that captures particle information at multiple points simultaneously, enabling real-time tracking and sorting decisions without the computational burden of full image processing.
2Productivity
If multiple linear sensors are positioned along the channel to enable real-time tracking, then the speed of detection improves, but the device complexity increases
Solution Approach 1:
Each linear sensor in the array performs multiple functions: detecting particle presence, determining particle position, and providing timing information for velocity calculation. The same sensor infrastructure supports both detection and tracking operations, reducing the need for separate specialized components and managing overall system complexity while maintaining high productivity.
Solution Approach 2:
The system uses the output from linear sensors to control external devices (such as electrodes or valves) for particle sorting. The detected particle characteristics feed back to the control system, which adjusts the sorting mechanism in real-time. This feedback loop enables intelligent sorting decisions based on actual particle measurements, improving productivity while the modular sensor array keeps complexity manageable.
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 fast and accurate real-time detection and sorting of particles or droplets, improving the efficiency of processes like fluorescence activated cell sorting (FACS) by providing precise control over particle flow and characterization.
Implementation Method 1
illuminating the channel with electromagnetic radiation along at least the linear axis, and detecting, with the linear sensor, the electromagnetic radiation as transmitted along the linear axis of the channel
Data Source
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AI summary
Disclosed herein are systems and methods capable of identifying, tracking, and sorting particles or droplets flowing in a channel, for example, a microfluidic channel having a fluid medium. The channel and the fluid medium can have a similar refractive index such that they appear translucent or transparent when illuminated by electromagnetic radiation. The particles or droplets can have a refractive index substantially different from that of the channel and the medium, such that the particles or droplets interfere with the electromagnetic radiation. A sensor can be disposed adjacent to the channel to record the electromagnetic radiation. The sensor can be attached to a system for identifying, tracking, and sorting the droplets.