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
笨蛋琪露诺完成签到,获得积分10
3秒前
深情安青应助lcx采纳,获得10
4秒前
斯文的雍发布了新的文献求助10
6秒前
6秒前
davis264发布了新的文献求助10
9秒前
传奇3应助okayu采纳,获得10
10秒前
bkagyin应助BIO采纳,获得10
10秒前
Jasper应助xiyu采纳,获得10
11秒前
12秒前
lalll发布了新的文献求助10
12秒前
13秒前
科研通AI6.2应助寒水采纳,获得10
13秒前
way完成签到,获得积分10
14秒前
hhhh发布了新的文献求助10
17秒前
19秒前
21秒前
21秒前
zhou发布了新的文献求助10
23秒前
23秒前
hhhh完成签到,获得积分10
24秒前
24秒前
666666发布了新的文献求助10
25秒前
四季安完成签到 ,获得积分10
26秒前
孙文杰完成签到 ,获得积分10
26秒前
27秒前
李健发布了新的文献求助10
28秒前
明理斓完成签到 ,获得积分10
28秒前
赘婿应助Rainyin采纳,获得30
28秒前
59完成签到 ,获得积分10
28秒前
29秒前
奋斗的萝发布了新的文献求助10
29秒前
31秒前
paradise发布了新的文献求助20
32秒前
Owen应助直率的心情采纳,获得10
32秒前
34秒前
我的脸可不是面团捏的完成签到,获得积分10
34秒前
1110shi发布了新的文献求助10
34秒前
田様应助奋斗的萝采纳,获得10
35秒前
科研通AI6.2应助唐兴田采纳,获得10
36秒前
李一琳完成签到,获得积分10
36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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Matrix Methods in Data Mining and Pattern Recognition 540
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 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 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 7057000
求助须知:如何正确求助?哪些是违规求助? 8720517
关于积分的说明 18460998
捐赠科研通 6579513
什么是DOI,文献DOI怎么找? 3122379
关于科研通互助平台的介绍 2213489
邀请新用户注册赠送积分活动 2097955