Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis


Autoria(s): Susaki, Etsuo A.; Tainaka, Kazuki; Perrin, Dimitri; Kishino, Fumiaki; Tawara, Takehiro; Watanabe, Tomonobu M; Yokoyama, Chihiro; Onoe, Hirotaka; Eguchi, Megumi; Yamaguchi, Shun; Abe, Takaya; Kiyonari, Hiroshi; Shimizu, Yoshihiro; Miyawaki, Atsushi; Yokota, Hideo; Ueda, Hiroki R
Data(s)

24/04/2014

Resumo

Systems-level identification and analysis of cellular circuits in the brain will require the development of whole-brain imaging with single-cell resolution. To this end, we performed comprehensive chemical screening to develop a whole-brain clearing and imaging method, termed CUBIC (clear, unobstructed brain imaging cocktails and computational analysis). CUBIC is a simple and efficient method involving the immersion of brain samples in chemical mixtures containing aminoalcohols, which enables rapid whole-brain imaging with single-photon excitation microscopy. CUBIC is applicable to multicolor imaging of fluorescent proteins or immunostained samples in adult brains and is scalable from a primate brain to subcellular structures. We also developed a whole-brain cell-nuclear counterstaining protocol and a computational image analysis pipeline that, together with CUBIC reagents, enable the visualization and quantification of neural activities induced by environmental stimulation. CUBIC enables time-course expression profiling of whole adult brains with single-cell resolution.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82685/

Publicador

Cell Press

Relação

http://eprints.qut.edu.au/82685/1/82685.pdf

DOI:10.1016/j.cell.2014.03.042

Susaki, Etsuo A., Tainaka, Kazuki, Perrin, Dimitri, Kishino, Fumiaki, Tawara, Takehiro, Watanabe, Tomonobu M, Yokoyama, Chihiro, Onoe, Hirotaka, Eguchi, Megumi, Yamaguchi, Shun, Abe, Takaya, Kiyonari, Hiroshi, Shimizu, Yoshihiro, Miyawaki, Atsushi, Yokota, Hideo, & Ueda, Hiroki R (2014) Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis. Cell, 157(3), pp. 726-739.

Direitos

Copyright 2014 Elsevier Inc.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Journal Article