已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Tissue clearing and its applications in neuroscience

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
出处
期刊:Nature Reviews Neuroscience [Springer Nature]
卷期号:21 (2): 61-79 被引量:401
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
2秒前
北风发布了新的文献求助10
3秒前
5秒前
NexusExplorer应助passion采纳,获得10
6秒前
Owen应助冷静的鼠标采纳,获得30
8秒前
晓晓完成签到,获得积分10
10秒前
10秒前
SciGPT应助活力妙彤采纳,获得10
16秒前
冷静的鼠标完成签到,获得积分10
20秒前
xiaobai发布了新的文献求助10
20秒前
20秒前
21秒前
大个应助北风采纳,获得10
21秒前
jjj完成签到 ,获得积分10
23秒前
25秒前
25秒前
26秒前
煞笔导去死啊完成签到,获得积分10
26秒前
11发布了新的文献求助10
26秒前
jjj关注了科研通微信公众号
26秒前
氧气橘子完成签到,获得积分10
26秒前
迷路绿凝完成签到,获得积分10
27秒前
呦吼。。。完成签到,获得积分10
29秒前
passion发布了新的文献求助10
29秒前
酷波er应助CK采纳,获得10
29秒前
zackf完成签到,获得积分10
30秒前
31秒前
bible完成签到,获得积分10
32秒前
35秒前
buno完成签到,获得积分0
35秒前
38秒前
hygge完成签到,获得积分10
39秒前
桐桐应助central77采纳,获得10
39秒前
40秒前
墨尘发布了新的文献求助10
41秒前
42秒前
仰头看云完成签到,获得积分10
42秒前
Owen应助77seven采纳,获得10
42秒前
bias发布了新的文献求助10
44秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307115
求助须知:如何正确求助?哪些是违规求助? 2940891
关于积分的说明 8499299
捐赠科研通 2615068
什么是DOI,文献DOI怎么找? 1428618
科研通“疑难数据库(出版商)”最低求助积分说明 663482
邀请新用户注册赠送积分活动 648318