| Literature DB >> 28489821 |
David Grant Colburn Hildebrand1,2,3,4,5, Marcelo Cicconet5, Russel Miguel Torres2,4, Woohyuk Choi6, Tran Minh Quan6, Jungmin Moon6, Arthur Willis Wetzel7, Andrew Scott Champion8, Brett Jesse Graham4, Owen Randlett2, George Scott Plummer2, Ruben Portugues2, Isaac Henry Bianco2, Stephan Saalfeld8, Alexander David Baden9, Kunal Lillaney9, Randal Burns9, Joshua Tzvi Vogelstein10, Alexander Franz Schier2,3,11,12,13, Wei-Chung Allen Lee4, Won-Ki Jeong6, Jeff William Lichtman2,3, Florian Engert2,3.
Abstract
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.Entities:
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Year: 2017 PMID: 28489821 PMCID: PMC5594570 DOI: 10.1038/nature22356
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962