Neuron Segmentation

Neuron segmentation, the process of identifying and delineating individual neurons from microscopy images, is crucial for understanding brain structure and function. Current research focuses on improving segmentation accuracy and efficiency using various deep learning approaches, including transformer networks and multi-agent reinforcement learning, often leveraging pre-training on large natural image datasets to overcome data scarcity in neuroscience. These advancements are vital for connectomics, enabling more accurate reconstruction of neuronal circuits and facilitating analysis of neurological diseases, ultimately accelerating progress in neuroscience research.