Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
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.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Comments on this article