当前位置: X-MOL 学术Nano Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Effective Rapid Fluorescence Lifetime Imaging of the Brain: A Novel Approach Using Upconversion Photoluminescence Lifetime Based on Gate-Width Acquisition
Nano Letters ( IF 9.6 ) Pub Date : 2024-11-13 , DOI: 10.1021/acs.nanolett.4c03516
Mahmoud Al-Salihi, Salah Eddine Ghellab, Yanpin Li, Chenggui Luo, Um-e Kalsoom, Liwei Liu

The rapid lifetime imaging of upconversion photoluminescence is becoming increasingly popular in biosensing, anticounterfeiting, optical thermometry, and multiplex imaging. However, existing Rapid Lifetime Determination (RLD) techniques are limited in their ability to integrate contiguous, overlapping, and discrete windows into a single measurement, hindering accurate fluorescence lifetime retrieval. This study introduces a new data acquisition method using three adjustable gates in a single measurement to enhance resolution. We apply this method in rapid upconversion fluorescence lifetime imaging to visualize capillary networks and map pH levels based on intensity and lifetime differences in mouse brain vasculature. By enhancing brightness using NaYbF4@NaYF4,Er,Tm@NaYF4 nanoparticles, we achieve effective brain imaging. Monte Carlo simulations demonstrate a relative standard deviation of less than 0.4% for fluorescence durations spanning from 1 to 20 ns. This method provides a fast, high-contrast solution for multiplex brain imaging, addressing the limitations of slow data collection and poor accuracy in existing RLD techniques.

中文翻译:


有效的大脑快速荧光寿命成像:一种基于门宽采集的上转换光致发光寿命的新方法



上转换光致发光的快速寿命成像在生物传感、防伪、光学测温和多重成像中越来越受欢迎。然而,现有的快速寿命测定 (RLD) 技术在将连续、重叠和离散窗口集成到单个测量中的能力方面受到限制,从而阻碍了准确的荧光寿命检索。本研究介绍了一种新的数据采集方法,在一次测量中使用三个可调节门来提高分辨率。我们将该方法应用于快速上转换荧光寿命成像,以可视化毛细管网络并根据小鼠脑血管系统的强度和寿命差异绘制 pH 值。通过使用 NaYbF4@NaYF4,Er,Tm@NaYF4 纳米颗粒提高亮度,我们实现了有效的脑成像。蒙特卡洛模拟表明,对于 1 至 20 ns 的荧光持续时间,相对标准偏差小于 0.4%。该方法为多重脑成像提供了一种快速、高对比度的解决方案,解决了现有 RLD 技术中数据收集缓慢和准确性差的局限性。
更新日期:2024-11-13
down
wechat
bug