Tissue clearing and its applications in neuroscience.,Nature Reviews Neuroscience

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Tissue clearing and its applications in neuroscience.
Nature Reviews Neuroscience ( IF 28.7 ) Pub Date : 2020-02-01 , DOI: 10.1038/s41583-019-0250-1
Hiroki R Ueda _{1,

2} , Ali Ertürk _{3,

4,

5} , Kwanghun Chung _{6,

7,

8,

9,

10,

11,

12} , Viviana Gradinaru ₁₃ , Alain Chédotal ₁₄ , Pavel Tomancak _{15,

16} , Philipp J Keller ₁₇

Affiliation

Department of Systems Pharmacology, University of Tokyo, Tokyo, Japan.
Laboratory for Synthetic Biology, RIKEN BDR, Suita, Japan.
Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian University of Munich, Munich, Germany.
Institute of Tissue Engineering and Regenerative Medicine, Helmholtz Zentrum München, Neuherberg, Germany.
Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eli & Edythe Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Center for NanoMedicine, Institute for Basic Science, Seoul, Republic of Korea.
Graduate Program of Nano Biomedical Engineering, Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Institut de la Vision, Sorbonne Université, INSERM, CNRS, Paris, France.
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
IT4Innovations, Technical University of Ostrava, Ostrava, Czech Republic.
Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.

State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience.

中文翻译：

组织清除及其在神经科学中的应用。

最先进的组织清除方法提供了亚细胞水平的光学途径，从单个器官甚至到一些整个哺乳动物的完整组织。当与光片显微镜和自动化图像分析方法相结合时，现有的组织清除方法可以加快传统组织学的速度，并可能将其成本降低几个数量级。此外，组织透明化学可以实现全器官抗体标记，甚至可以应用于较厚的人体组织。通过结合最强大的标记、清除、成像和数据分析工具，科学家们正在加速提取复杂哺乳动物身体和大型人类标本的结构和功能细胞和亚细胞信息。 TB级成像数据的快速生成进一步对高效计算方法提出了很高的需求，以应对大规模数据分析和管理的挑战。在这篇综述中，我们讨论了组织清除方法如何为哺乳动物身体和人类标本提供公正的系统级视图，并讨论这些方法在人类神经科学中使用的未来机会。

更新日期：2020-01-02

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