AI Models for Neuron Segmentation: A Comparative Study

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