Bengt Ljungquist

muDM is a multi-resolution data model for spatial bioimaging that enables querying of vector geometries with associated molecular data across resolutions, improving classifier performance for neuron meshes.

The paper describes improvements to NeuroMorpho.Org, a digital neuromorphology database, to accelerate data sharing and processing, reducing time from data identification to public release by 63.7%.

The paper quantifies the impact of data sharing in neuroscience by analyzing citations and reusage of neural morphology datasets.

The paper presents a similarity search tool for comparing neural morphologies across species and brain regions using morphometric and vectorized descriptors.