研究目的
Investigating the use of image segmentation based testing methodology to detect catastrophic faults and locate faulty cells in digital micro?uidic biochips, and proposing a design-for-diagnosability scheme to tolerate faults by providing alternative paths.
研究成果
The proposed image segmentation based testing methodology effectively detects and locates faulty cells in digital micro?uidic biochips with reduced test time compared to existing methods. It also facilitates concurrent testing with other bioassay operations, enhancing the dependability of biochips for safety-critical applications.
研究不足
The method requires careful selection of threshold values for image segmentation, which may vary depending on the biochip and imaging conditions. The approach is tested on simulated biochips, and its effectiveness on real-world biochips with complex operations needs further validation.
1：Experimental Design and Method Selection:
The methodology involves using image segmentation to detect faults in digital micro?uidic biochips. It includes capturing images of the biochip at specific time slots using a CCD camera and applying image processing techniques to identify faulty cells.
2：Sample Selection and Data Sources:
The experiment uses a digital micro?uidic biochip with a patterned array of individually controllable electrodes, on-chip reservoirs, and CCD cameras.
3：List of Experimental Equipment and Materials:
CCD camera for image capture, digital micro?uidic biochip, and image processing software.
4：Experimental Procedures and Operational Workflow:
Images of the biochip are captured at specific time instances. Image segmentation is applied to these images to identify faulty cells. The method also involves moving test droplets to bypass identified faulty cells.
5：Data Analysis Methods:
The centroid of connected components in the segmented images is calculated to locate faulty cells. The method compares the test time and diagnosis time with existing methods to evaluate efficiency.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
