Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution.
large volume imaging
light sheet microscopy
song system
tissue clearing
zebra finch
Journal
Frontiers in neuroanatomy
ISSN: 1662-5129
Titre abrégé: Front Neuroanat
Pays: Switzerland
ID NLM: 101477943
Informations de publication
Date de publication:
2019
2019
Historique:
received:
01
10
2018
accepted:
28
01
2019
entrez:
7
3
2019
pubmed:
7
3
2019
medline:
7
3
2019
Statut:
epublish
Résumé
The inherent complexity of brain tissue, with brain cells intertwining locally and projecting to distant regions, has made three-dimensional visualization of intact brains a highly desirable but challenging task in neuroscience. The natural opaqueness of tissue has traditionally limited researchers to techniques short of single cell resolution such as computer tomography or magnetic resonance imaging. By contrast, techniques with single-cell resolution required mechanical slicing into thin sections, which entails tissue distortions that severely hinder accurate reconstruction of large volumes. Recent developments in tissue clearing and light sheet microscopy have made it possible to investigate large volumes at micrometer resolution. The value of tissue clearing has been shown in a variety of tissue types and animal models. However, its potential for examining the songbird brain remains unexplored. Songbirds are an established model system for the study of vocal learning and sensorimotor control. They share with humans the capacity to adapt vocalizations based on auditory input. Song learning and production are controlled in songbirds by the song system, which forms a network of interconnected discrete brain nuclei. Here, we use the CUBIC and iDISCO+ protocols for clearing adult songbird brain tissue. Combined with light sheet imaging, we show the potential of tissue clearing for the investigation of connectivity between song nuclei, as well as for neuroanatomy and brain vasculature studies.
Identifiants
pubmed: 30837847
doi: 10.3389/fnana.2019.00013
pmc: PMC6382697
doi:
Types de publication
Journal Article
Langues
eng
Pagination
13Références
J Comp Neurol. 1976 Feb 15;165(4):457-86
pubmed: 1262540
Ann N Y Acad Sci. 2004 Jun;1016:684-703
pubmed: 15313800
Nat Methods. 2007 Apr;4(4):331-6
pubmed: 17384643
Neuroimage. 2008 May 15;41(1):1-6
pubmed: 18358743
J Comp Neurol. 2010 Aug 1;518(15):3086-100
pubmed: 20533361
Nat Rev Neurosci. 2010 Nov;11(11):747-59
pubmed: 20959859
Front Neurosci. 2011 Apr 12;5:50
pubmed: 21519397
Neuroimage. 2011 Jul 15;57(2):352-61
pubmed: 21565273
Nat Methods. 2012 Jul;9(7):671-5
pubmed: 22930834
Neuroscience. 2013 Jun 3;239:139-48
pubmed: 23291451
Development. 2013 Mar;140(6):1364-8
pubmed: 23444362
Nat Neurosci. 2013 Aug;16(8):1154-61
pubmed: 23792946
J Comp Neurol. 2013 Nov;521(16):3702-15
pubmed: 23896990
Cell. 2014 Apr 24;157(3):726-39
pubmed: 24746791
Science. 2015 Jan 30;347(6221):543-8
pubmed: 25592419
PLoS One. 2015 May 20;10(5):e0124650
pubmed: 25993380
Cell. 2015 Jul 16;162(2):246-257
pubmed: 26186186
Elife. 2015 Aug 31;4:e10032
pubmed: 26322384
Sci Rep. 2015 Sep 02;5:13492
pubmed: 26328508
Nat Protoc. 2015 Nov;10(11):1709-27
pubmed: 26448360
Sci Rep. 2016 Jan 11;6:18631
pubmed: 26750588
Cell. 2016 Jun 16;165(7):1789-1802
pubmed: 27238021
Cell. 2016 Jun 16;165(7):1776-1788
pubmed: 27238022
J Exp Zool B Mol Dev Evol. 2017 Jan;328(1-2):106-118
pubmed: 27649924
Sci Rep. 2017 Feb 27;7:37569
pubmed: 28240285
Elife. 2017 Mar 27;6:
pubmed: 28346140
Development. 2017 Jun 1;144(11):2092-2097
pubmed: 28432219
J Comp Neurol. 2017 Sep 1;525(13):2847-2860
pubmed: 28472866
Nat Neurosci. 2017 Jul;20(7):978-986
pubmed: 28504672
Front Neuroanat. 2017 Dec 19;11:128
pubmed: 29311856
J Comp Neurol. 2018 Jun 15;526(9):1550-1570
pubmed: 29520771
Front Neuroanat. 2019 Jan 31;13:2
pubmed: 30766480