Image Analysis for Liquid Column Defect Detection
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Solution Overview
Problem
Current UV/Vis spectrometers face challenges in accurately measuring small liquid samples due to issues like misshaped or off-centered liquid columns, bubbles, and broken columns, which degrade measurement quality and lack automated detection and reporting of these defects.
Innovation Solution
An image analysis system utilizing a high-resolution video camera and computer vision algorithms to automatically identify and report defects in the liquid column, including skewed, off-centered, bubbled, or broken columns, by processing YUV color images to create grayscale and light scatter component images and applying binary image processing techniques to assess column integrity and optical path quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual pipetting is used to place liquid sample on the interface, then the operation is simple and quick, but user pipetting errors cause broken or misshapen sample columns resulting in inaccurate measurements
Solution Approach 1:
The system captures an image of the liquid column between the capital and pedestal, processes the image to detect column integrity and shape, and provides feedback by identifying defects such as broken columns, misshapen columns, or off-centered positioning. This feedback mechanism allows the system to warn users of potential measurement errors before they occur, thereby improving measurement reliability while maintaining simple manual operation.
2Length of moving object
If the path length is reduced to accommodate small sample volumes, then small samples can be measured, but detection of column defects becomes more difficult
Solution Approach 1:
The system creates a visual copy of the liquid column by capturing an image between the capital and pedestal. This image copy allows for detailed analysis of column integrity, shape, and positioning without requiring physical manipulation or extension of the column. Image processing algorithms analyze the captured image to detect defects, making defect detection as easy as image analysis regardless of the actual column length.
3Reliability
If automated image analysis is implemented to detect column defects, then measurement reliability improves, but device complexity increases
Solution Approach 1:
The system introduces an image capture device and image processing software as intermediaries between the liquid column and the measurement system. Instead of directly measuring the column's physical properties, the system captures an optical image and uses software algorithms to analyze column integrity. This intermediary approach automates defect detection while keeping the hardware additions minimal (primarily a camera and processing unit).
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
Enhances measurement reliability by accurately detecting and reporting column defects, ensuring the quality of spectral measurements and providing a column image quality metric, thereby improving the accuracy and consistency of UV/Vis spectrometry.
Implementation Method 1
A video camera is focused into the compartment between the light transmitting and light receiving interfaces for capture of an image of a liquid column
Implementation Method 2
Light 3 from a light source coming through the fiber 6 contained in and flush with surface 2 radiates downward through the liquid sample column 9 and is collected by the fiber 11
Implementation Method 3
measure the absorbance of microliter amounts of liquid samples via a sample retention technology which enables containing a liquid sample by its surface tension between surfaces 2 and 7
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
An image analysis system includes a video camera that collects YUV color images of a liquid sample disposed between a capital and a pedestal, the color images being collected while a light source shines light through an optical beam path between the capital and the pedestal, and a processor adapted to i) obtain from the YUV color images a grayscale component image and a light scatter component image, and ii) obtain at least one binary image of the grayscale component image and at least one binary image of the light scatter component image.