Particle Counting via Full Volume Imaging
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Solution Overview
Problem
Traditional methods for detecting particles in liquid or semi-solid samples, such as using hemocytometers, suffer from distribution errors due to uneven particle distribution and manufacturing process errors, leading to inaccurate particle counting.
Innovation Solution
A method and system for obtaining a full volume image of the test sample using an image acquisition device, which allows for the determination of analysis parameters like particle count without relying on sampling, thereby mitigating distribution and manufacturing errors by capturing the entire volume of the sample.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sampling detection is used to count particles, then the detection process is simple and quick, but the accuracy is reduced due to distribution errors and manufacturing errors
Solution Approach 1:
The patent transitions from two-dimensional sampling detection to three-dimensional full-volume imaging detection. By capturing images of the entire sample volume and reconstructing particle positions in 3D space, the system eliminates sampling errors and achieves comprehensive particle counting without increasing operational complexity
Solution Approach 2:
The patent creates a digital copy (image) of the entire sample volume instead of physically sampling portions of it. Multiple images are taken at different focal depths and stitched together to form a complete digital representation of all particles in the sample, enabling accurate counting without physical manipulation
2Measurement precision
If full volume imaging is used to capture entire sample, then particle counting accuracy is improved, but the imaging and processing complexity increases
Solution Approach 1:
The system uses periodic focal adjustment to capture images at different depth planes systematically. By automating the focal depth changes and image capture sequence, the method efficiently collects all necessary imaging data without manual intervention, reducing overall processing time despite the multiple images required
Solution Approach 2:
The patent implements continuous imaging across the entire sample volume by sequentially capturing images at different focal depths without interruption. The automated focusing and image stitching process maintains continuous data collection, eliminating gaps and ensuring complete particle detection throughout the sample
3Measurement precision
If traditional hemocytometer method is used, then the device structure is simple, but distribution errors and manufacturing errors affect accuracy
Solution Approach 1:
The patent replaces the mechanical hemocytometer counting chamber with an optical imaging system. Instead of relying on precise mechanical manufacturing of counting grids and chambers, the system uses digital image capture and computational processing to achieve accurate particle counting, eliminating sensitivity to manufacturing tolerances
Data Source
AI summary
The present disclosure provides a counting chamber and an application thereof, and a method and a system for analyzing particles in a test sample. The method includes obtaining a full volume image of the test sample using an image acquisition device, wherein an imaging field of the full volume image is capable of reflecting an entire volume of the test sample in a sample container. The method further includes determining an analysis parameter of the particles in the test sample based on the full volume image, wherein the analysis parameter of the particles includes at least a count of the particles.