Project Mentor
Dr. Peter Maye
Center for Regenerative Medicine
Undergraduate Research Opportunity Description
| Project Description | The project area focuses on developing computational approaches to aid in the analysis of microscope images. Open-source Matlab and Python applications will be used to analyze microscope images. The testing of applications by outside groups to determine their utility and accuracy to work on the images generated by our research group. The ultimate goal is to develop automated image analysis workflows that contain alerts and notification systems in place. |
| Project Direction | The project area supports broader ongoing research in the skeletal sciences. Microscope images are generated during the skeletal phenotyping of mutant mouse bone tissue. Alternatively, images are also generated by performing spatial transcriptomics on human articular cartilage samples. The analyses of images will contribute to understanding the function of genes and cells present in skeletal tissues. |
| Mentorship and Supervision | The student will work under the supervision of Dr. Maye and technical staff in the lab. Initially, we will assess the student’s capabilities and interests. From that point, Dr. Maye will develop a training plan to help the student learn fundamental computational approaches related to image analysis and project components to contribute to the lab’s research goals. His/Her progress will be assessed by their willingness and ability to learn and develop applications and assist in image analysis efforts. Weekly lab meetings with the student will provide feedback on their progress. |
| Student Qualifications | The interested student should have an interest in computer image analysis, and have a basic skill set of understanding Python and the use of libraries to develop computational workflows. |
| Summer Schedule Options | A typical work week with be 9 am-5 pm Monday-Friday. |
| Project Continuation | Fall 2024, Spring 2025 |
| Academic Year Time Commitment | 3 hours/week |
| Possible Thesis Project | No |
Application
Submit an online application for this research opportunity at https://quest.uconn.edu/prog/HRP24-21. The application deadline is Monday, January 29, 2024.
This application requires a Resume or CV, Cover Letter, Unofficial Transcript, GPA, Science GPA, Statement of Qualifications, Statement of Research Interests, and Statement of Career Interests. References should be available upon request.