Research Symposium

24th annual Undergraduate Research Symposium, April 3, 2024

Rickerson Geneus He/Him Poster Session 5: 4:00 pm - 5:00 pm/216


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BIO


Hello, I am Rickerson Geneus a Haitian-American presidential scholar from Broward County, Florida. Due to my love for both medicine and computers I chose to participate in biomedical engineering here at FSU. To go along with my interest I have decided to research AI and heart cells!

Developing An AI-based Particle-tracking Algorithm For Cardiac Muscle Cell Growth and Contractility

Authors: Rickerson Geneus, Dr. Christopher Solis
Student Major: Biomedical Engineering
Mentor: Dr. Christopher Solis
Mentor's Department: College of Health and Human Sciences
Mentor's College: College of Education, Health, and Human Sciences, Florida State University
Co-Presenters: Matthew Hutchins, Hannah Maken

Abstract


Heart disease is the leading cause of death in the United States, which brings about many concerns of how to overcome this issue. In the research we were able to perform with Dr. Solis, we studied how heart cell’s sarcomere’s (the rudimentary unit that makes up muscle fiber) move regularly and relative to the administration of various medications. To make the visualization of the changes more efficient, we decided to create an AI that detects the differences in the sarcomeres. To create this AI, we performed a review of a multitude of research papers with information related to AI and its performance/ability to scan images, as well as some papers related to sarcomere’s and its reaction to different drugs. Once we performed these peer-reviewed paper analyses, we moved on to segmenting the images manually to train the AI and creating the AI. We were able to segment a vast number of images and began to create an AI that will be able to properly segment and analyze images. We identified that the image segmenter tool from MATLAB was the ideal algorithm to produce ground truth elements for sarcomere identification.

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Keywords: AI, Heart Cells, Computer Science