Two-photon fluorescent probes for quantitative bio-imaging analysis in live tissues

荧光 双光子激发显微术 荧光寿命成像显微镜 化学 生物医学工程 光学 医学 物理
作者
Vinayak Juvekar,Hyo Won Lee,Dong Joon Lee,Hwan Myung Kim
出处
期刊:Trends in Analytical Chemistry [Elsevier BV]
卷期号:157: 116787-116787 被引量:35
标识
DOI:10.1016/j.trac.2022.116787
摘要

Two-photon (TP) microscopy (TPM) is an indispensable visualization tool for deep-tissue imaging. TPM uses the low energy light of the near-infrared window as an excitation source of fluorophores which reduces autofluorescence, photodamage, and light scattering, resulting in high resolution fluorescence images potentially beyond several millimeter depths in living systems. Due to the continuous development of the microscope and advances in optical output algorithms, it is crucial to develop innovative strategies for the quantitative analysis of biomedically relevant target analytes in living systems using TP fluorescence probes. In this review, we have highlighted ratiometric TP probe design strategies with representative ratiometric TP sensors in the last decade. We have also summarized the recent progress in the development of TP probes published between 2017 and 2022 for quantitatively detecting analytes such as enzymes, reactive species, bio-thiols, pH, neutral molecules, and metal ions in live cells and tissues. • Current advances in quantitative bio-imaging in live tissue using ratiometric two-photon fluorescent probes are reviewed. • Special attention is given to designing strategies involving ratiometric bio-imaging such as ICT, FRET, and internal reference-based approaches. • Identification of specific analytes and applications in deep live tissues, in vivo, and biomedical research are discussed. • Insights into the current state, existing challenges, and future direction in developing ratiometric two-photon probes are rationally envisioned.
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
清新的梦桃完成签到,获得积分10
2秒前
没有昵称完成签到 ,获得积分10
4秒前
4秒前
5秒前
俭朴映阳完成签到 ,获得积分10
6秒前
6秒前
wryyyn完成签到,获得积分10
6秒前
迷人的爆米花完成签到 ,获得积分10
7秒前
7秒前
科研通AI6.1应助细腻新烟采纳,获得10
8秒前
8秒前
无限无声发布了新的文献求助10
9秒前
9秒前
maoyi发布了新的文献求助10
12秒前
我爱学习发布了新的文献求助10
12秒前
8o7XJ7完成签到,获得积分10
13秒前
13秒前
14秒前
14秒前
小二郎应助笨笨支付宝采纳,获得10
15秒前
眼睛大的从雪完成签到,获得积分10
17秒前
在水一方应助如意冷荷采纳,获得10
19秒前
睿智发布了新的文献求助10
19秒前
19秒前
20秒前
20秒前
20秒前
Suaia完成签到,获得积分10
21秒前
爆米花应助赫赫111采纳,获得10
22秒前
23秒前
23秒前
油米盐应助qqs采纳,获得10
24秒前
猪猪发布了新的文献求助10
24秒前
blackddl应助zhuangbaobao采纳,获得10
24秒前
25秒前
Aye发布了新的文献求助10
25秒前
wbqdssl发布了新的文献求助10
27秒前
充电宝应助科研通管家采纳,获得10
27秒前
Lucas应助科研通管家采纳,获得10
27秒前
英姑应助科研通管家采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
Quasi-Interpolation 400
脑电大模型与情感脑机接口研究--郑伟龙 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6276231
求助须知:如何正确求助?哪些是违规求助? 8095927
关于积分的说明 16924256
捐赠科研通 5345695
什么是DOI,文献DOI怎么找? 2842174
邀请新用户注册赠送积分活动 1819385
关于科研通互助平台的介绍 1676587