U-Net is a Generic Deep-Learning Solution for Bacteria Segmentation and Analysis

Term: 
2021-2022 Summer
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 
3

U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data (Falk et al: https://www.nature.com/articles/s41592-018-0261-2).
In this project we aim to develop a generic deep learning algorithm for detection of different types of bacteria using the fluorescent and phase images of cells acquired by fluorescent microscopy. 

Related Areas of Project: 
Computer Science and Engineering
Molecular Biology, Genetics and Bioengineering
Electronics Engineering
Mechatronics Engineering
Physics

About Project Supervisors