Extended Data Fig. 2: Gains in improvements resulting from data aggregation. | Nature Methods

Extended Data Fig. 2: Gains in improvements resulting from data aggregation.

From: NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry

Extended Data Fig. 2

The NeuroXiv database was compared with three other data sources across multiple parameters. In all comparative analyses, gray bars indicate the maximum values obtainable from other individual data sources. Colored bars demonstrate improvements achieved using the NeuroXiv database. a, neurite arborization. Total arborized length across brain regions, with separate measurements for axonal and dendritic processes. b, projection combinations. Number of distinct projection patterns between brain regions, considering only neurons with processes extending >1000 μm into target regions. c, neuronal proximity. three categories of neighboring neurons: soma-neighboring, axon-neighboring and dendrite-neighboring. d, neuronal similarity. two classification types: projection-similar and morphology-similar. (See Extended Data Fig. 3 for precise definitions of neighboring and similar neuron classifications.).

Back to article page