Hua Han

Reducing manual proofreading time by over 33% while achieving superior neuron tracing accuracy could revolutionize the analysis of large-scale neural connectivity maps.

Transforming continuous geometric signals into structured discrete tokens leads to state-of-the-art performance in multi-animal tracking, even in the most challenging scenarios.

SkelEM achieves high-fidelity detail restoration in volume microscopy in under five steps, outperforming existing self-supervised methods.