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Natural language instructions can now drive zero-shot 3D organoid phenotyping by fusing Cellpose geometric priors with SAM3 inside an autonomous multi-agent framework.
MAE-3D not only surpasses 2D methods in single-cell tasks but also sets new benchmarks for protein localization and interaction, showcasing the power of 3D modeling in microscopy.
