Haejun Han

ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy

We propose ASCENT, a novel framework for tracking neurons in 3D fluorescence microscopy recordings without relying on manual track annotations. ASCENT leverages self-supervised contrastive learning to learn robust, discriminative embeddings from detected neuron candidates. At its core is a volume co…