清理
计算机科学
兆字节
脑组织
步伐
薄层荧光显微镜
人工智能
神经科学
生物
显微镜
病理
医学
财务
经济
扫描共焦电子显微镜
操作系统
地理
大地测量学
作者
Hiroki R. Ueda,Ali Ertürk,Kwanghun Chung,Viviana Gradinaru,Alain Chédotal,Pavel Tomančák,Philipp Keller
标识
DOI:10.1038/s41583-019-0250-1
摘要
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. Tissue-clearing methods are now allowing 3D imaging of intact tissues and some entire mammals. In this Review, Ueda and colleagues discuss the various tissue-clearing methods, related techniques and data analysis and management, as well as the application of these methods in neuroscience.
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