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Design of A MATLAB Based Droplet Auto Counting and Analyzing Program

Li, L. (2022) Design of A MATLAB Based Droplet Auto Counting and Analyzing Program.

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Abstract:Up to now, far too little attention has been paid to develop a computer program that detects and analyses fluorescent droplets for early-stage cancer detection. In this project, we present a design process of a MATLAB based auto-counting of the number of droplets, detecting their location, and applying intensity and concentration calculation using the Canny detector and Hough transformation utilized for early-stage cancer detection explicitly. Meanwhile, we designed a GUI (graphical user interface) as the operating system. We evaluated our product both scientifically and ethically. The scientific evaluation indicates that the product shows an excellent performance even compared to the most frequently used commercial product ImageJ, it performs better in terms of detecting low-intensity droplets and the result of intensity calculation is almost identical. To achieve this, we investigated different methods for droplet determination, including algorithm and AI (Artificial intelligence) programmed in Python language as well as the final product based on MATLAB platform but only verified on a small sample range. Ethically, the GUI provides users with a better user experience from the product that they would not be scared of the long programming codes or much prior programming required to get on with the program.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:https://purl.utwente.nl/essays/93855
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