Develop methods to improve image qualities using physics, image science, and artificial intelligence
Optical coherence tomography (OCT) is an imaging technology that can non-invasively generate cross-sectional images of tissue. OCT is widely used in eye clinics to diagnose and manage retinal diseases, such as age-related macular degeneration and diabetic retinopathy. Improving the image resolution and contrast will bring numerous opportunities to study ultrastructural features of the human retina.
In this project, we will develop both hardware (physics-based) and software (artificial intelligence-based) methods to improve the optical image qualities. Students will work with custom-developed optical imaging instruments and develop a deblurring neural network to recover the images with improved resolution and contrast.
Develop methods to improve image qualities
Present findings as a poster and/or publish in a journal
Experience with human subject research
Length of commitment | Longer than a semester; 6-9 months |
Start time | January 2025 - May 2025 |
In-person, remote, or hybrid? | In Person (Can only function with in-person engagement) |
Level of collaboration | Small group project (2-3 students) |
Benefits | Academic Credit Stipend Research experience |
Who is eligible | Sophomore & Junior students that have a strong interest in both physics and machine learning, experience with programming (Python, MATLAB, etc.) |
Jungeun Won
Assistant Professor of Research
Biomedical Engineering
Phone: (716) 645-4497
Email: jungeunw@buffalo.edu
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
Biomedical Engineering, Machine Learning, Imaging, Optics, Physics, Computer Science and Engineering, Electrical Engineering, Mechanical Engineering