Tissue clearing and its applications in neuroscience

清理 计算机科学 认知科学 神经科学 心理学 生物 业务 财务
作者
Hiroki R. Ueda,Ali Ertürk,Kwanghun Chung,Viviana Gradinaru,Alain Chédotal,Pavel Tomančák,Philipp Keller
出处
期刊:Nature Reviews Neuroscience [Nature Portfolio]
卷期号:21 (2): 61-79 被引量:651
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小马甲应助汤圆软软软采纳,获得10
刚刚
catank应助汤圆软软软采纳,获得10
刚刚
辣椒油完成签到,获得积分10
刚刚
catank应助汤圆软软软采纳,获得10
刚刚
传奇3应助汤圆软软软采纳,获得10
刚刚
@Zcc完成签到,获得积分10
刚刚
晚晚完成签到 ,获得积分10
刚刚
天晴应助汤圆软软软采纳,获得10
刚刚
catank应助汤圆软软软采纳,获得10
1秒前
sophia完成签到,获得积分20
1秒前
2秒前
123关闭了123文献求助
3秒前
4秒前
5秒前
风趣碧凡发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
远方发布了新的文献求助10
7秒前
聊聊完成签到,获得积分10
7秒前
dido发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
zhang发布了新的文献求助10
9秒前
Jasper应助勤奋的不斜采纳,获得10
9秒前
9秒前
悠然男孩发布了新的文献求助10
9秒前
陈大宝发布了新的文献求助10
10秒前
李部侍郎发布了新的文献求助10
10秒前
七七完成签到,获得积分20
10秒前
闫霄溯应助汕头凯奇采纳,获得10
12秒前
12秒前
13秒前
上官若男应助xyzlancet采纳,获得10
13秒前
Pamper发布了新的文献求助10
13秒前
忧虑的靖巧完成签到 ,获得积分0
14秒前
17秒前
大模型应助永卿采纳,获得10
18秒前
18秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7602438
求助须知:如何正确求助?哪些是违规求助? 9178693
关于积分的说明 19656148
捐赠科研通 7178122
什么是DOI,文献DOI怎么找? 3269061
关于科研通互助平台的介绍 2433243
邀请新用户注册赠送积分活动 2262877