Development of an algorithm to analyse live-cell imaging data
Project Description
Live-cell imaging using labelled DNA or histone is a powerful technique for real-time tracking of mammalian cells in culture. This project aims to develop and test an algorithm that enable un-supervised analysis of live-cell imaging data.
Supervisor
POON Randy Yat Choi
Quota
1
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
• Development of algorithm for automatic analysis of mitosis, apoptosis, and other cell fates.
• Collect live-cell imaging data.
• Testing of model by comparison with manual analysis of live-cell imaging data.
• Collect live-cell imaging data.
• Testing of model by comparison with manual analysis of live-cell imaging data.
Applicant's Learning Objectives
• Development of algorithm (requires prior knowledge of coding).
• Collect live-cell imaging data.
• Testing of model by comparison with manual analysis of live-cell imaging data.
• Collect live-cell imaging data.
• Testing of model by comparison with manual analysis of live-cell imaging data.
Complexity of the project
Moderate