Advancements in phasor-based FLIM: multi-component analysis and lifetime probes in biological imaging
Dan Li1, Xinyi Liu1, Fanli Dong1,2
1State Key Lab of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, P. R. China. wwli@sjtu.edu.cn.
Journal of Materials Chemistry. B
|November 27, 2024
Summary
Phasor analysis (PA) in fluorescence lifetime imaging microscopy (FLIM) offers faster, visual data processing than traditional methods. Integrating lifetime probes with PA-FLIM enables rapid analysis of complex biological environments.
Area of Science:
- * Biophysics
- * Optical Microscopy
- * Spectroscopic Imaging
Background:
- * Fluorescence lifetime imaging microscopy (FLIM) provides temporal data complementing intensity measurements.
- * Advancements in FLIM technology have expanded its applications.
- * Efficient processing of FLIM data is key to improving imaging speed and accuracy.
Purpose of the Study:
- * To review lifetime probes used in phasor-based FLIM.
- * To discuss the role of these probes in phasor analysis (PA).
- * To explore multi-component PA methods in biological settings.
Main Methods:
- * Phasor analysis (PA) for direct, fitting-free processing of lifetime data.
- * Utilization of lifetime probes with distinct lifetimes for visualization and cluster analysis.
- * Application of phasor vector rules and unmixing for multi-component analysis.
Main Results:
- * PA offers superior speed compared to traditional fitting algorithms for FLIM data.
- * Lifetime probes combined with PA facilitate visualization and cluster analysis.
- * Multi-component PA methods enable analysis within complex biological environments.
Conclusions:
- * Phasor-based FLIM, utilizing specific lifetime probes, provides rapid and intuitive detection.
- * This approach enhances the analysis of complex biological systems.
- * PA integration significantly improves the speed and visualization capabilities of FLIM.


