Research Symposium

BIO

I am a second-year student at FSU from South Florida. My project focuses on AI-assisted image analysis for the structural characterization of HIV-1 capsids. Through this research, I have gained experience in image processing, data analysis, and machine learning applications in biomedical science. I am particularly interested in how computational methods can enhance our understanding of complex biological structures. Engaging in research has strengthened my analytical skills and curiosity, and I look forward to continuing to explore new techniques and applications in the field.

AI-Assisted Image Analysis for Structural Characterization of HIV-1 Capsids

Abstract

Cryo-Electron Microscopy (Cryo-EM) is a powerful tool for studying the structural characteristics of the HIV-1 capsid within its cellular environment. However, limitations such as low signal-to-noise ratio (SNR) and the complex identification of capsids in crowded environments hinder accurate segmentation and analysis. To address these challenges, this project integrates artificial intelligence (AI) with Cryo-EM to automate capsid detection and classification. Using convolutional neural networks (CNNs) and advanced image segmentation techniques, this approach enhances accuracy, reduces human bias, and accelerates analysis. Results demonstrate improved capsid identification and reduced image processing time, aligning with previous research supporting AI-driven image analysis. Future work will focus on optimizing training datasets and expanding AI applications to additional imaging techniques and biological samples, further advancing structural virology research in HIV-1.

Keywords: Segmentation, AI, HIV-1