Particle Sorting Using Event-Based Vision for Velocity Detection
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Solution Overview
Problem
Existing particle sorting technologies face inaccuracies in detecting particle velocity due to changes in detection positions over time, leading to errors in sorting control.
Innovation Solution
A particle sorting apparatus and method utilizing a plurality of light sources for irradiation, an event-based vision sensor for detecting luminance changes, and a sorting control unit to accurately determine particle velocity and control sorting based on event data, thereby stabilizing particle velocity detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If two light receivers are used to detect particle velocity, then particle sorting control can be achieved, but detection accuracy deteriorates when detection positions change over time
Solution Approach 1:
The invention divides the detection function into multiple pixels arranged in a matrix, where each pixel independently detects luminance changes. This segmentation allows the system to track particle positions across multiple detection points simultaneously, compensating for positional drift and maintaining accurate velocity measurement even when detection positions change over time.
Solution Approach 2:
The invention transitions from one-dimensional detection (two discrete light receivers) to two-dimensional detection (matrix of pixels). By adding spatial dimensionality, the system can detect not only particle velocity but also positional information, enabling correction of detection position changes and improving overall measurement accuracy.
2Measurement precision
If detection positions are kept fixed, then measurement accuracy is maintained, but detection reliability deteriorates due to positional drift over time
Solution Approach 1:
The system continuously monitors particle positions across the pixel matrix and uses this feedback information to calculate actual detection position changes. By comparing expected positions with actual detected positions, the system can compensate for drift and maintain reliable, accurate velocity measurements over extended periods.
Solution Approach 2:
The invention performs preliminary detection of particle positions at multiple pixels before final velocity calculation. This preliminary action captures positional information that is then used to correct for any drift, ensuring that the final velocity measurement is based on accurate, drift-compensated position data.
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
The solution enables high-accuracy detection of particle velocity and improved sorting performance, including enhanced yield, recovery rate, and purity by compensating for changes in light interval over time.
Implementation Method 1
a detection unit that includes a plurality of pixels configured to detect, as an event, a luminance change in the light emitted from the particle due to irradiation of the light from each of the light sources
Implementation Method 2
the particles are irradiated with laser light or the like to detect light released from each particle
Data Source
AI summary
A technology capable of stably detecting a particle velocity with high accuracy is provided.Provided is a particle sorting apparatus or the like including: an irradiation unit that includes a plurality of light sources and irradiates a particle contained in a fluid with light from the plurality of light sources; a detection unit that includes a plurality of pixels configured to detect, as an event, a luminance change in the light emitted from the particle due to irradiation of the light from each of the light sources; and a sorting control unit that controls sorting of the particle on the basis of event data detected by the detection unit.