@article {48497,
	title = {Whole-brain serial-section electron microscopy in larval zebrafish.},
	journal = {Nature},
	volume = {545},
	year = {2017},
	month = {2017 May 18},
	pages = {345-349},
	abstract = {<p>High-resolution serial-section electron microscopy (ssEM) makes it possible to investigate the dense meshwork of axons, dendrites, and synapses that form neuronal circuits. However, the imaging scale required to comprehensively reconstruct these structures is more than ten orders of magnitude smaller than the spatial extents occupied by networks of interconnected neurons, some of which span nearly the entire brain. Difficulties in generating and handling data for large volumes at nanoscale resolution have thus restricted vertebrate studies to fragments of circuits. These efforts were recently transformed by advances in computing, sample handling, and imaging techniques, but high-resolution examination of entire brains remains a challenge. Here, we present ssEM data for the complete brain of a larval zebrafish (Danio rerio) at 5.5 days post-fertilization. Our approach utilizes multiple rounds of targeted imaging at different scales to reduce acquisition time and data management requirements. The resulting dataset can be analysed to reconstruct neuronal processes, permitting us to survey all myelinated axons (the projectome). These reconstructions enable precise investigations of neuronal morphology, which reveal remarkable bilateral symmetry in myelinated reticulospinal and lateral line afferent axons. We further set the stage for whole-brain structure-function comparisons by co-registering functional reference atlases and in vivo two-photon fluorescence microscopy data from the same specimen. All obtained images and reconstructions are provided as an open-access resource.</p>
},
	issn = {1476-4687},
	doi = {10.1038/nature22356},
	author = {Hildebrand, David Grant Colburn and Cicconet, Marcelo and Torres, Russel Miguel and Choi, Woohyuk and Quan, Tran Minh and Moon, Jungmin and Wetzel, Arthur Willis and Scott Champion, Andrew and Graham, Brett Jesse and Randlett, Owen and Plummer, George Scott and Portugues, Ruben and Bianco, Isaac Henry and Saalfeld, Stephan and Baden, Alexander David and Lillaney, Kunal and Burns, Randal and Vogelstein, Joshua Tzvi and Schier, Alexander Franz and Lee, Wei-Chung Allen and Jeong, Won-Ki and Lichtman, Jeff William and Engert, Florian}
}
@article {48388,
	title = {Whole-brain activity mapping onto a zebrafish brain atlas.},
	journal = {Nature methods},
	volume = {12},
	year = {2015},
	month = {2015 Nov},
	pages = {1039-46},
	abstract = {<p>In order to localize the neural circuits involved in generating behaviors, it is necessary to assign activity onto anatomical maps of the nervous system. Using brain registration across hundreds of larval zebrafish, we have built an expandable open-source atlas containing molecular labels and definitions of anatomical regions, the Z-Brain. Using this platform and immunohistochemical detection of phosphorylated extracellular signal{\textendash}regulated kinase (ERK) as a readout of neural activity, we have developed a system to create and contextualize whole-brain maps of stimulus- and behavior-dependent neural activity. This mitogen-activated protein kinase (MAP)-mapping assay is technically simple, and data analysis is completely automated. Because MAP-mapping is performed on freely swimming fish, it is applicable to studies of nearly any stimulus or behavior. Here we demonstrate our high-throughput approach using pharmacological, visual and noxious stimuli, as well as hunting and feeding. The resultant maps outline hundreds of areas associated with behaviors.</p>
},
	keywords = {Algorithms, Animals, Automation, Behavior, Animal, Brain, Brain Mapping, Calcium, Extracellular Signal-Regulated MAP Kinases, Image Processing, Computer-Assisted, Immunohistochemistry, Microscopy, Confocal, Neurites, Neurons, Phosphorylation, Principal Component Analysis, Reproducibility of Results, Software, Swimming, Zebrafish},
	issn = {1548-7105},
	doi = {10.1038/nmeth.3581},
	author = {Randlett, Owen and Wee, Caroline L and Naumann, Eva A and Nnaemeka, Onyeka and Schoppik, David and Fitzgerald, James E and Portugues, Ruben and Lacoste, Alix M B and Riegler, Clemens and Engert, Florian and Schier, Alexander F}
}
