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This repository was archived by the owner on Jun 9, 2025. It is now read-only.

This project focuses on detecting and counting cells within microdroplets. Utilizing a computer vision solution, the project explicitly avoids the use of machine learning techniques. You can find a poster in the repository summarizing the entire methodology.

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julienbrandoit/ELEN0016---Detection-counting-and-tracking-of-cells-in-microdroplets

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Cell Detection and Counting in Microdroplets

Overview

Welcome to the GitHub repository for the project undertaken as part of the ELEN0016-2 course. This project focuses on detecting and counting cells within microdroplets. Utilizing a computer vision solution, the project explicitly avoids the use of machine learning techniques. You can find a poster in the repository summarizing the entire methodology.

Details

The solution presented in this project can be adapted for various types of detections, counting, and tracking of 'small circles' within 'larger circles'. Please note that the original videos are not provided in the repository.

For more details, refer to the poster available in the repository.

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This project focuses on detecting and counting cells within microdroplets. Utilizing a computer vision solution, the project explicitly avoids the use of machine learning techniques. You can find a poster in the repository summarizing the entire methodology.

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