Research Symposium

24th annual Undergraduate Research Symposium, April 3, 2024

Frank Schotanus Poster Session 4: 2:45 pm - 3:45 pm /310


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BIO


I am from Chicago, Illinois, majoring in computer science and computational biology. I have academic interests in the fields of software engineering, bioinformatics, and artificial intelligence, and I intend to pursue a graduate degree in one of those fields. Outside of the classroom, I am the president of the Association for Computing Machinery student chapter at FSU, I work as an ambassador for the 'Noles Everywhere program, and I'm on the men's club volleyball team. I enjoy working out, reading, and classical music.

Magellon: The Next Generation of Cryo-EM Software

Authors: Frank Schotanus, Dr. Scott Stagg
Student Major: Computer Science and Computational Biology
Mentor: Dr. Scott Stagg
Mentor's Department: Biology
Mentor's College: Ph.D., University of Alabama at Birmingham
Co-Presenters:

Abstract


A cryo-electron microscope is an advanced imaging tool used in structural biology to visualize biological samples at high resolutions. The microscope uses electron beams to create detailed images of the frozen samples, allowing scientists to study the three-dimensional structures of proteins, viruses, and other biological entities. In order to effectively operate a cryo-electron microscope, the appropriate software needs to be used to store, view, and analyze the data captured by the microscope. Current software exists that accomplish these tasks, but can prove to be outdated, inefficient, and hard to use. Oftentimes, the operator must have extensive command line experience to use the software, which can be a lot to ask of a researcher whose expertise does not lie in that field. That is why we are developing Magellon. Magellon is the next generation of software that aims to fix all the aforementioned setbacks of current software for these microscopes. Magellon hopes to be the software of choice for cryo-electron microscope operators around the world by implementing a fast and efficient back end database, while also maintaining a user-friendly graphical user interface.

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Keywords: Cryo-EM, Molecular Biology, Computational Biology, Software Development