Literature DB >> 28641108

High-Speed and Scalable Whole-Brain Imaging in Rodents and Primates.

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

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


  36 in total

Review 1.  Microstructural parcellation of the human brain.

Authors:  Bruce Fischl; Martin I Sereno
Journal:  Neuroimage       Date:  2018-02-26       Impact factor: 6.556

2.  A three-dimensional single-cell-resolution whole-brain atlas using CUBIC-X expansion microscopy and tissue clearing.

Authors:  Tatsuya C Murakami; Tomoyuki Mano; Shu Saikawa; Shuhei A Horiguchi; Daichi Shigeta; Kousuke Baba; Hiroshi Sekiya; Yoshihiro Shimizu; Kenji F Tanaka; Hiroshi Kiyonari; Masamitsu Iino; Hideki Mochizuki; Kazuki Tainaka; Hiroki R Ueda
Journal:  Nat Neurosci       Date:  2018-03-05       Impact factor: 24.884

3.  Generation of a whole-brain atlas for the cholinergic system and mesoscopic projectome analysis of basal forebrain cholinergic neurons.

Authors:  Xiangning Li; Bin Yu; Qingtao Sun; Yalun Zhang; Miao Ren; Xiaoyan Zhang; Anan Li; Jing Yuan; Linda Madisen; Qingming Luo; Hongkui Zeng; Hui Gong; Zilong Qiu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-19       Impact factor: 11.205

Review 4.  Whole-Brain Profiling of Cells and Circuits in Mammals by Tissue Clearing and Light-Sheet Microscopy.

Authors:  Hiroki R Ueda; Hans-Ulrich Dodt; Pavel Osten; Michael N Economo; Jayaram Chandrashekar; Philipp J Keller
Journal:  Neuron       Date:  2020-05-06       Impact factor: 17.173

Review 5.  The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas.

Authors:  Joseph R Ecker; Daniel H Geschwind; Arnold R Kriegstein; John Ngai; Pavel Osten; Damon Polioudakis; Aviv Regev; Nenad Sestan; Ian R Wickersham; Hongkui Zeng
Journal:  Neuron       Date:  2017-11-01       Impact factor: 17.173

Review 6.  Decoding Neurotransmitter Switching: The Road Forward.

Authors:  Hui-Quan Li; Marta Pratelli; Swetha Godavarthi; Stefania Zambetti; Nicholas C Spitzer
Journal:  J Neurosci       Date:  2020-05-20       Impact factor: 6.167

7.  Advanced CUBIC tissue clearing for whole-organ cell profiling.

Authors:  Katsuhiko Matsumoto; Tomoki T Mitani; Shuhei A Horiguchi; Junichi Kaneshiro; Tatsuya C Murakami; Tomoyuki Mano; Hiroshi Fujishima; Ayumu Konno; Tomonobu M Watanabe; Hirokazu Hirai; Hiroki R Ueda
Journal:  Nat Protoc       Date:  2019-11-20       Impact factor: 13.491

Review 8.  Basic quantitative morphological methods applied to the central nervous system.

Authors:  Lutz Slomianka
Journal:  J Comp Neurol       Date:  2020-08-01       Impact factor: 3.215

9.  Large-scale, cell-resolution volumetric mapping allows layer-specific investigation of human brain cytoarchitecture.

Authors:  Irene Costantini; Giacomo Mazzamuto; Matteo Roffilli; Annunziatina Laurino; Filippo Maria Castelli; Mattia Neri; Giovanni Lughi; Andrea Simonetto; Erica Lazzeri; Luca Pesce; Christophe Destrieux; Ludovico Silvestri; Valerio Conti; Renzo Guerrini; Francesco Saverio Pavone
Journal:  Biomed Opt Express       Date:  2021-05-27       Impact factor: 3.732

10.  A deep learning algorithm for 3D cell detection in whole mouse brain image datasets.

Authors:  Adam L Tyson; Charly V Rousseau; Christian J Niedworok; Sepiedeh Keshavarzi; Chryssanthi Tsitoura; Lee Cossell; Molly Strom; Troy W Margrie
Journal:  PLoS Comput Biol       Date:  2021-05-28       Impact factor: 4.475

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