Next-generation in vivo optical imaging with short-wave infrared quantum dots

量子点 红外线的 光电子学 砷化铟 图像分辨率 材料科学 穿透深度 临床前影像学 波长 光谱成像 砷化铟镓 体内 光学 物理 砷化镓 生物技术 生物
作者
Oliver T. Bruns†,Thomas S. Bischof,Daniel K. Harris,Daniel Franke,Yanxiang Shi,Lars Riedemann,Alexander Bartelt,Frank B. Jaworski,Jessica A. Carr,Christopher J. Rowlands,Mark W. B. Wilson,Ou Chen,He Wei,Gyu Weon Hwang,Daniel M. Montana,Igor Coropceanu,Odin B. Achorn,Jonas Kloepper,Jöerg Heeren,Peter T. C. So
出处
期刊:Nature Biomedical Engineering [Nature Portfolio]
卷期号:1 (4) 被引量:605
标识
DOI:10.1038/s41551-017-0056
摘要

For in vivo imaging, the short-wavelength infrared region (SWIR; 1,000–2,000 nm) provides several advantages over the visible and near-infrared regions: general lack of autofluorescence, low light absorption by blood and tissue, and reduced scattering. However, the lack of versatile and functional SWIR emitters has prevented the general adoption of SWIR imaging by the biomedical research community. Here, we introduce a class of high-quality SWIR-emissive indium-arsenide-based quantum dots that are readily modifiable for various functional imaging applications, and that exhibit narrow and size-tunable emission and a dramatically higher emission quantum yield than previously described SWIR probes. To demonstrate the unprecedented combination of deep penetration, high spatial resolution, multicolour imaging and fast acquisition speed afforded by the SWIR quantum dots, we quantified, in mice, the metabolic turnover rates of lipoproteins in several organs simultaneously and in real time as well as heartbeat and breathing rates in awake and unrestrained animals, and generated detailed three-dimensional quantitative flow maps of the mouse brain vasculature. Functionalized InAs quantum dots emitting in the short-wavelength infrared spectral region enable functional biomedical imaging at unprecedentedly high spatial resolution, deep penetration and fast acquisition speeds.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
李在猛完成签到 ,获得积分10
2秒前
aillyzm发布了新的文献求助10
2秒前
2秒前
机智念芹发布了新的文献求助10
3秒前
缓慢的开山完成签到 ,获得积分10
4秒前
共享精神应助xuesitu采纳,获得10
4秒前
江月渡发布了新的文献求助10
4秒前
xy发布了新的文献求助10
8秒前
范小楠完成签到,获得积分10
9秒前
温婉的书蕾完成签到 ,获得积分10
10秒前
乐乐应助机智念芹采纳,获得10
12秒前
JamesPei应助张凯采纳,获得10
12秒前
孙燕应助李y梅子采纳,获得50
13秒前
细心书蕾完成签到 ,获得积分10
14秒前
范医生01完成签到,获得积分10
14秒前
16秒前
16秒前
Theprisoners应助yu采纳,获得20
19秒前
JamesPei应助天边采纳,获得10
20秒前
深情安青应助xy采纳,获得10
21秒前
22秒前
23秒前
24秒前
英俊的铭应助无私秋珊采纳,获得10
25秒前
Ace发布了新的文献求助10
25秒前
yang完成签到,获得积分10
26秒前
张凯发布了新的文献求助10
26秒前
28秒前
apoptoxin4896发布了新的文献求助10
28秒前
斯文败类应助zhourongchun采纳,获得10
29秒前
30秒前
zhaoyuqing完成签到 ,获得积分10
31秒前
Csene发布了新的文献求助10
32秒前
打打应助科研通管家采纳,获得10
32秒前
Profeto应助科研通管家采纳,获得10
33秒前
上官若男应助科研通管家采纳,获得10
33秒前
ED应助科研通管家采纳,获得10
33秒前
慕青应助科研通管家采纳,获得30
33秒前
dongjy应助科研通管家采纳,获得40
33秒前
大模型应助科研通管家采纳,获得10
33秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 1030
A new approach to the extrapolation of accelerated life test data 1000
Indomethacinのヒトにおける経皮吸収 400
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 370
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3993971
求助须知:如何正确求助?哪些是违规求助? 3534571
关于积分的说明 11265961
捐赠科研通 3274483
什么是DOI,文献DOI怎么找? 1806363
邀请新用户注册赠送积分活动 883224
科研通“疑难数据库(出版商)”最低求助积分说明 809712