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组织透明化与光片显微镜技术:以细胞分辨率对未切片的成年斑胸草雀大脑进行成像

Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution.

作者信息

Rocha Mariana Diales, Düring Daniel Normen, Bethge Philipp, Voigt Fabian F, Hildebrand Staffan, Helmchen Fritjof, Pfeifer Alexander, Hahnloser Richard Hans Robert, Gahr Manfred

机构信息

Department of Behavioral Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.

Institute of Neuroinformatics, University of Zurich/ETH Zurich, Zurich, Switzerland.

出版信息

Front Neuroanat. 2019 Feb 14;13:13. doi: 10.3389/fnana.2019.00013. eCollection 2019.

Abstract

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.

摘要

脑组织具有内在复杂性,脑细胞在局部相互交织并投射到远处区域,这使得完整大脑的三维可视化成为神经科学中一项极具吸引力但又具有挑战性的任务。传统上,组织的天然不透明性使研究人员只能采用低于单细胞分辨率的技术,如计算机断层扫描或磁共振成像。相比之下,具有单细胞分辨率的技术需要将组织机械切成薄片,这会导致组织变形,严重阻碍对大体积组织的精确重建。组织透明化和光片显微镜技术的最新进展使得以微米分辨率研究大体积组织成为可能。组织透明化的价值已在多种组织类型和动物模型中得到证明。然而,其在检查鸣禽大脑方面的潜力仍未得到探索。鸣禽是研究发声学习和感觉运动控制的成熟模型系统。它们与人类一样,具有根据听觉输入调整发声的能力。鸣禽的鸣叫学习和产生由鸣叫系统控制,该系统形成一个由相互连接的离散脑核组成的网络。在这里,我们使用CUBIC和iDISCO+协议对成年鸣禽脑组织进行透明化处理。结合光片成像,我们展示了组织透明化在研究鸣叫核之间的连接性以及神经解剖学和脑血管系统研究方面的潜力。

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