OncoTrack: Oncology Malignant Cell Tracking & Performance Validation
Faculty Mentor
Prof Felix Hamza-Lup
Location
Savannah Ballroom
Type of Research
On-going
Session Format
Poster Presentation
College
Allen E. Paulson College of Engineering & Computing
Department
Computer Science
Abstract
This research focuses on studying particle migration, inspired by cancer cell behavior under controlled environmental conditions. In the lab, migrating cells are typically observed within microfluidic gradient chambers, where their movement provides insights into underlying biological dynamics. Tracking refers to recording the coordinates of individual particles frame by frame over time. These trajectories can then be analyzed statistically to extract velocity, acceleration, and other dynamic parameters. The goal is to develop a methodology for live particle tracking using any video containing moving particles. The program will track particles in real time, map trajectories, generate velocity and acceleration vector fields, and compute relevant metrics.
Program Description
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Start Date
4-21-2026 10:00 AM
End Date
4-21-2026 12:00 PM
Recommended Citation
Boles, Sydney; Thach, Sarah; and Mejia, Phillip, "OncoTrack: Oncology Malignant Cell Tracking & Performance Validation" (2026). GS4 Student Scholars Symposium. 6.
https://digitalcommons.georgiasouthern.edu/research_symposium/2026A/2026A/6
OncoTrack: Oncology Malignant Cell Tracking & Performance Validation
Savannah Ballroom
This research focuses on studying particle migration, inspired by cancer cell behavior under controlled environmental conditions. In the lab, migrating cells are typically observed within microfluidic gradient chambers, where their movement provides insights into underlying biological dynamics. Tracking refers to recording the coordinates of individual particles frame by frame over time. These trajectories can then be analyzed statistically to extract velocity, acceleration, and other dynamic parameters. The goal is to develop a methodology for live particle tracking using any video containing moving particles. The program will track particles in real time, map trajectories, generate velocity and acceleration vector fields, and compute relevant metrics.
