UNET- Group 1

2022-2023 Fall
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

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

About Project Supervisors

Meltem Elitas