Li Dan, Liu Xinyi, Dong Fanli, Li Wanwan
State Key Lab of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, P. R. China.
Inner Mongolia Research Institute of Shanghai Jiao Tong University, Huhehot 010030, P. R. China.
J Mater Chem B. 2025 Jan 2;13(2):472-484. doi: 10.1039/d4tb01669f.
Fluorescence lifetime imaging microscopy (FLIM) is a reliable method that achieves imaging by detecting fluorescence lifetimes within samples. Owing to its unique temporal characteristic, it can complement fluorescence intensity measurement. Technological and methodological advancements in FLIM have broadened its applications across various domains. The processing of fluorescence lifetime data is crucial for enhancing the speed and accuracy of imaging. Thus, various lifetime fitting algorithms have been developed to improve the imaging speed. The phasor analysis (PA) method is an approach for processing fluorescence lifetime data, capable of directly converting lifetime signals into visual graphics without fitting, which outperforms traditional approaches in speed. Furthermore, lifetime probes with distinct lifetimes are readily implemented for visualization and cluster analysis combined with PA, facilitating the prediction of specific biological states or functions. This review examines various lifetime probes employed in phasor-based FLIM and discusses their roles in the PA method. The methods for multi-component PA within complex biological environments were also described. Additionally, we focused on the advantages of the phasor vector rule and the unmixing of multi-component analysis based on PA. The integration of lifetime probes with phasor-based FLIM facilitates rapid and intuitive detection methods for analyzing complex biological environments.
荧光寿命成像显微镜(FLIM)是一种通过检测样品内荧光寿命来实现成像的可靠方法。由于其独特的时间特性,它可以补充荧光强度测量。FLIM在技术和方法上的进步拓宽了其在各个领域的应用。荧光寿命数据的处理对于提高成像速度和准确性至关重要。因此,已经开发了各种寿命拟合算法来提高成像速度。相量分析(PA)方法是一种处理荧光寿命数据的方法,能够在不进行拟合的情况下直接将寿命信号转换为视觉图形,在速度上优于传统方法。此外,具有不同寿命的寿命探针很容易与PA结合用于可视化和聚类分析,有助于预测特定的生物状态或功能。本文综述了基于相量的FLIM中使用的各种寿命探针,并讨论了它们在PA方法中的作用。还描述了复杂生物环境中多组分PA的方法。此外,我们重点介绍了相量向量规则的优点以及基于PA的多组分分析的解混。寿命探针与基于相量的FLIM的整合促进了用于分析复杂生物环境的快速直观检测方法。