@article {2181,
	title = {Adeno-associated viral vectors for mapping, monitoring, and manipulating neural circuits.},
	journal = {Human Gene Therapy},
	volume = {22},
	year = {2011},
	month = {2011 Feb 14},
	pages = {669-77},
	abstract = {<p>Understanding the structure and function of neural circuits are central questions in neuroscience research. To address these questions, new genetically encoded tools have been developed for mapping, monitoring, and manipulating neurons. Essential to implementation of these tools is their selective delivery to defined neuronal populations in the brain. This has been facilitated by recent improvements in cell type-specific transgene expression using recombinant adeno-associated viral vectors. Here, we highlight these developments and discuss areas for improvement that could further expand capabilities for neural circuit analysis.</p>
},
	issn = {1557-7422},
	doi = {10.1089/hum.2010.204},
	author = {Sternson, Scott and Betley, J Nicholas}
}
@article {2183,
	title = {Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model.},
	journal = {Bioinformatics},
	volume = {26},
	year = {2010},
	month = {2010 Jun 15},
	pages = {i38-46},
	abstract = {<p>Digital reconstruction of 3D neuron structures is an important step toward reverse engineering the wiring and functions of a brain. However, despite a number of existing studies, this task is still challenging, especially when a 3D microscopic image has low single-to-noise ratio and discontinued segments of neurite patterns.</p>
},
	keywords = {Animals, Caenorhabditis elegans, Computer-Assisted, Drosophila, Image Processing, Imaging, Mice, Neurons, Three-Dimensional},
	issn = {1367-4811},
	doi = {10.1093/bioinformatics/btq212},
	author = {Peng, Hanchuan and Ruan, Zongcai and Atasoy, Deniz and Sternson, Scott}
}
