Rapid robust high-fidelity 3D neuronal extraction from multiview calcium imaging datasets

TL;DR - DeepWonder3D is a pipeline for rapid, robust, high-fidelity neuronal extraction from volumetric calcium imaging. It is designed to work across multiple one-photon and two-photon microscopy modalities.

• Published online in Nature Methods on September 7, 2026.
• Processes multiview, three-dimensional calcium imaging datasets.
• Focuses on extracting neurons from complex volumetric recordings.
• The provided summary does not include quantitative performance results or benchmark details.