@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}
}
@article {64830,
	title = {Single-neuron axonal reconstruction: The search for a wiring diagram of the brain.},
	journal = {The Journal of Comparative Neurology},
	year = {2019},
	month = {2019 Mar 12},
	abstract = {<p>Reconstruction of the axonal projection patterns of single neurons has been an important tool for understanding both the diversity of cell types in the brain and the logic of information flow between brain regions. Innovative approaches now enable the complete reconstruction of axonal projection patterns of individual neurons with vastly increased throughput. Here we review how advances in genetic, imaging, and computational techniques have been exploited for axonal reconstruction. We also discuss how new innovations could enable the integration of genetic and physiological information with axonal morphology for producing a census of cell types in the mammalian brain at scale. This article is protected by copyright. All rights reserved.</p>
},
	issn = {1096-9861},
	doi = {10.1002/cne.24674},
	author = {Economo, Michael N and Winnubst, Johan and Bas, Erhan and Ferreira, Tiago A and Chandrashekar, Jayaram}
}
