The neuromorphological file format balances structure with flexibility by storing each modeled object as a unique data element and providing mechanisms for grouping any number and type of data elements. File-level metadata is retained to provide detail on the origin of the sample, ensuring that the provenance of derivative data is tracked and that important source information is not separated from the corresponding data.
- Provides a common data format for creating accurate and quantifiable digital reconstruction models derived from microscopic anatomies
- Abides by Findable, Accessible, Interoperable, and Reusable (FAIR) data standards by incorporating subject metadata and unique identifiers for anatomical terminology via the SciCrunch Interlex Terminology Portal
- Detailed morphometric analyses of neurons, vessels, cell bodies, spines, synapses, puncta, and more
- Simulations and electrotonic modeling of the neurons
- Extends outreach to tool developers through a fully documented, publicly available file specification