AI Models for Neuron Segmentation: A Comparative Study

Authors

Stella Wilcox, Parkland College
Ellie Conklin, University of Illinois at Urbana-Champaign
Nathan E. Schroeder, University of Illinois at Urbana-Champaign

Document Type

Poster

Publication Date

2024

Abstract

Project goal:

• Electron microscopy (EM) provides scientists at The Schroeder Laboratory with a variety of biological insights into neural networks and synapses.
• However, due to the substantial data generated from the biological specimens being analyzed, the process of manual cell segmentation is labor-intensive and time-consuming.
• This project assesses and optimizes three different open-source machine learning models. Our objective is to determine which model delivers the highest efficiency, precision, and ease of use for our laboratory needs.

Rights

Copyright is owned by the creators of this work.

Recommended Citation

Wilcox, Stella; Conklin, Ellie; and Schroeder, Nathan E., "AI Models for Neuron Segmentation: A Comparative Study" (2024). MICRO-CCS student projects. 7.
https://spark.parkland.edu/micro_ccs_student/7