Micro-particle Sorting Trajectory Detection Using Imaging
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Solution Overview
Problem
Existing micro-particle sorting apparatuses rely on visual observation to detect deviations in the trajectory of fluid streams or liquid droplets, leading to reliability and stability issues that depend heavily on user experience, making the process complex and unreliable.
Innovation Solution
A micro-particle sorting apparatus equipped with an imaging device and a processor that images and evaluates the trajectory of the ejected fluid stream or liquid droplets, using contrasted spots to calculate deviations and control focusing, enabling automated detection and correction of trajectory deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual observation by user is used to detect trajectory deviation, then the apparatus configuration remains simple, but reliability and stability deteriorate due to dependence on user experience
Solution Approach 1:
The patent replaces the mechanical/visual observation system with an optical imaging system. The imaging device captures images of the ejected stream, and image processing automatically detects trajectory deviation, substituting human visual inspection with automated optical detection and image analysis.
Solution Approach 2:
The system performs self-diagnosis by automatically detecting trajectory deviation through image processing. The apparatus monitors its own operational state without requiring external human observation, enabling autonomous detection and correction of trajectory issues.
2Measurement precision
If visual observation method is used for trajectory detection, then device complexity is low, but measurement precision deteriorates due to subjectivity
Solution Approach 1:
The patent replaces subjective visual observation with objective image processing. The imaging device captures precise visual data, and automated image processing algorithms objectively measure trajectory deviation, eliminating human subjectivity and improving measurement precision.
Solution Approach 2:
The system creates a visual copy (image) of the ejected stream trajectory and analyzes this copy to detect deviation. By working with the image copy rather than direct observation, the system achieves precise, repeatable measurements through automated image processing.
3Reliability
If automated imaging and image processing is implemented, then reliability and measurement precision improve, but device complexity increases
Solution Approach 1:
The imaging device serves multiple functions: it captures images of the ejected stream, enables trajectory deviation detection, and provides visual records for analysis. This multi-functionality justifies the added complexity by consolidating detection, measurement, and documentation capabilities in a single system.
4Productivity
If visual observation is used, then ease of operation is maintained, but productivity deteriorates due to manual inspection requirements
Solution Approach 1:
The system performs automated self-monitoring of trajectory deviation through continuous image capture and processing. This eliminates the need for manual inspection operations, significantly improving productivity while the automated nature maintains operational simplicity through programmatic control.
Data Source
AI summary
A flow cytometer includes apparatus for evaluating a trajectory of an ejected stream that carries micro-particles. The stream may be ejected from a micro-orifice of a micro-fluidic chip. The apparatus includes an imaging device and at least one processor configured to evaluate a trajectory of the ejected stream in at least two directions, e.g., a focusing direction and a direction transverse to the focusing direction. Based upon a detected trajectory, the system may execute an alarm function if the trajectory indicates an abnormal condition, or may move sample collection containers to accommodate for measured deviations in the trajectory of the ejected stream.