@article {67201,
	title = {SNT: a unifying toolbox for quantification of neuronal anatomy.},
	journal = {Nature Methods},
	volume = {18},
	year = {2021},
	month = {2021 Apr 01},
	pages = {374-377},
	abstract = {<p>SNT is an end-to-end framework for neuronal morphometry and whole-brain connectomics that supports tracing, proof-editing, visualization, quantification and modeling of neuroanatomy. With an open architecture, a large user base, community-based documentation, support for complex imagery and several model organisms, SNT is a flexible resource for the broad neuroscience community. SNT is both a desktop application and multi-language scripting library, and it is available through the Fiji distribution of ImageJ.</p>
},
	issn = {1548-7105},
	doi = {10.1038/s41592-021-01105-7},
	author = {Arshadi, Cameron and G{\"u}nther, Ulrik and Eddison, Mark and Harrington, Kyle I S and Ferreira, Tiago A}
}
