| Literature DB >> 28641108 |
Kaoru Seiriki1, Atsushi Kasai2, Takeshi Hashimoto3, Wiebke Schulze4, Misaki Niu4, Shun Yamaguchi5, Takanobu Nakazawa6, Ken-Ichi Inoue7, Shiori Uezono7, Masahiko Takada7, Yuichiro Naka4, Hisato Igarashi4, Masato Tanuma4, James A Waschek8, Yukio Ago9, Kenji F Tanaka10, Atsuko Hayata-Takano11, Kazuki Nagayasu4, Norihito Shintani4, Ryota Hashimoto12, Yasuto Kunii13, Mizuki Hino14, Junya Matsumoto14, Hirooki Yabe14, Takeharu Nagai15, Katsumasa Fujita16, Toshio Matsuda4, Kazuhiro Takuma17, Akemichi Baba18, Hitoshi Hashimoto19.
Abstract
Subcellular resolution imaging of the whole brain and subsequent image analysis are prerequisites for understanding anatomical and functional brain networks. Here, we have developed a very high-speed serial-sectioning imaging system named FAST (block-face serial microscopy tomography), which acquires high-resolution images of a whole mouse brain in a speed range comparable to that of light-sheet fluorescence microscopy. FAST enables complete visualization of the brain at a resolution sufficient to resolve all cells and their subcellular structures. FAST renders unbiased quantitative group comparisons of normal and disease model brain cells for the whole brain at a high spatial resolution. Furthermore, FAST is highly scalable to non-human primate brains and human postmortem brain tissues, and can visualize neuronal projections in a whole adult marmoset brain. Thus, FAST provides new opportunities for global approaches that will allow for a better understanding of brain systems in multiple animal models and in human diseases.Entities:
Keywords: cell distribution; human post-mortem brain; non-human primate brain; subcellular resolution; whole-brain imaging
Mesh:
Year: 2017 PMID: 28641108 DOI: 10.1016/j.neuron.2017.05.017
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173