@article{Wang2026, 
author = {Baoyi Wang and Meilin Li and Xiaoshuai Huang and Bei Liu},
title = {Emerging trends of fluorescence lifetime imaging microscopy (FLIM): advances, challenges, and prospects},
year = {2026},
journal = {Biophysics Reports},
volume = {12},
number = {4},
pages = {225-239},
keywords = {FLIM, Phasor analysis, Multiplexing, Biosensor, Deep learning, Super-resolution microscopy},
url = {https://www.sciopen.com/article/10.52601/bpr.2025.250024},
doi = {10.52601/bpr.2025.250024},
abstract = {This mini-review provides a concise overview of the latest advances in fluorescence lifetime imaging microscopy (FLIM). It discusses both time-domain and frequency-domain techniques, analysis methods − including phasor approaches and deep learning, and highlights applications in multiplexed imaging and quantitative biosensing. Furthermore, FLIM-empowered multimodal imaging approaches aimed at enhancing spatial and temporal resolution are discussed. Persistent challenges, including photon efficiency, probe sensitivity, and achieving high-speed imaging in live-cell environments, are critically assessed, outlining pathways toward future innovations.}
}