Effective Rapid Fluorescence Lifetime Imaging of the Brain: A Novel Approach Using Upconversion Photoluminescence Lifetime Based on Gate-Width Acquisition

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.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2024-11-13
DOI
https://doi.org/10.1021/acs.nanolett.4c03516
Citations
9
Primary Topic
Luminescence Properties of Advanced Materials
Type
article
Field-Weighted Citation Impact
1.05

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effective Rapid Fluorescence Lifetime Imaging of the Brain: A Novel Approach Using Upconversion Photoluminescence Lifetime Based on Gate-Width Acquisition

Salah Eddine Ghellab, Mahmoud Al-Salihi, Yu Li, Liwei Liu et al.
9 citations
Nano Letters
Luminescence Properties of Advanced Materials
1.05
article

Effective Rapid Fluorescence Lifetime Imaging of the Brain: A Novel Approach Using Upconversion Photoluminescence Lifetime Based on Gate-Width Acquisition

Salah Eddine Ghellab, Mahmoud Al-Salihi, Yu Li, Liwei Liu, Chenggui Luo, Um-e Kalsoom
article en
9 citations

Abstract

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.

Nano LettersVol. 24(47)
Shenzhen University (CN), Chalmers University of Technology (SE)
Science and Technology Foundation of Shenzhen City, National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 20%
Luminescence Properties of Advanced Materials
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.