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
Owen应助找论文的Q采纳,获得10
1秒前
1秒前
lzp发布了新的文献求助10
2秒前
伶俐的以莲完成签到,获得积分10
2秒前
3秒前
3秒前
宝宝完成签到 ,获得积分10
7秒前
慕青应助敏感又菡采纳,获得10
7秒前
sk夏冰完成签到 ,获得积分10
7秒前
10秒前
有魅力枕头完成签到,获得积分10
10秒前
啊呱完成签到 ,获得积分10
11秒前
three完成签到,获得积分10
11秒前
无我完成签到,获得积分10
13秒前
16秒前
16秒前
17秒前
认真问柳完成签到,获得积分10
18秒前
20秒前
冷酷的友绿完成签到,获得积分10
21秒前
小小发布了新的文献求助30
21秒前
Zx_1993完成签到,获得积分0
22秒前
22秒前
23秒前
littleboat发布了新的文献求助10
24秒前
顾矜应助小巧钢镚采纳,获得10
25秒前
27秒前
王童发布了新的文献求助10
28秒前
YTT发布了新的文献求助10
29秒前
30秒前
张照敏完成签到,获得积分10
30秒前
31秒前
31秒前
浮生若梦完成签到 ,获得积分10
32秒前
明礼A发布了新的文献求助10
33秒前
CJ完成签到,获得积分10
35秒前
科研通AI2S应助个性严青采纳,获得10
37秒前
37秒前
zkttxs完成签到,获得积分10
39秒前
39秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Analytical Separation Science 600
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 7547330
求助须知:如何正确求助?哪些是违规求助? 9130759
关于积分的说明 19508064
捐赠科研通 7141317
什么是DOI,文献DOI怎么找? 3259617
关于科研通互助平台的介绍 2426462
邀请新用户注册赠送积分活动 2248136