A Million-Scale, Difficulty-Stratified Optical-Microscopy Image Annotation for Neuron Reconstruction (opens in new tab)

Accurate reconstruction of neuronal morphology is a cornerstone for understanding the structure and function of neural circuits. Despite significant advances in imaging and reconstruction techniques that have greatly expanded the scale and quality of neuronal data, existing public datasets still lack large-scale, high-quality, and well-annotated resources, limiting their utility for training and evaluating modern AI models. In this study, we present an open, graded neuronal dataset covering t...