FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring

Nano-Micro Letters

Yuzhen Ouyang¹  Minghua Wu¹  Zhiming M. Wang²  Zongwen Liu³  Yanping Liu⁴ 

[1] Hunan Provincial Tumor Hospital and the Affiliated Tumor Hospital of Xiangya Medical School, Central South University;Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China;School of Chemical and Biomolecular Engineering, The University of Sydney;School of Physics and Electronics, Hunan Key Laboratory for Super-Microstructure and Ultrafast Process, Central South University;

关键词: Fluorescence lifetime imaging microscopy;    Förster resonance energy transfer;    Reduced form of nicotinamide adenine dinucleotide;    Biosensors;    Cancer;   

DOI  :  10.1007/s40820-021-00653-z

来源: DOAJ

【 摘 要 】

Abstract Fluorescence lifetime imaging microscopy (FLIM) has been rapidly developed over the past 30 years and widely applied in biomedical engineering. Recent progress in fluorophore-dyed probe design has widened the application prospects of fluorescence. Because fluorescence lifetime is sensitive to microenvironments and molecule alterations, FLIM is promising for the detection of pathological conditions. Current cancer-related FLIM applications can be divided into three main categories: (i) FLIM with autofluorescence molecules in or out of a cell, especially with reduced form of nicotinamide adenine dinucleotide, and flavin adenine dinucleotide for cellular metabolism research; (ii) FLIM with Förster resonance energy transfer for monitoring protein interactions; and (iii) FLIM with fluorophore-dyed probes for specific aberration detection. Advancements in nanomaterial production and efficient calculation systems, as well as novel cancer biomarker discoveries, have promoted FLIM optimization, offering more opportunities for medical research and applications to cancer diagnosis and treatment monitoring. This review summarizes cutting-edge researches from 2015 to 2020 on cancer-related FLIM applications and the potential of FLIM for future cancer diagnosis methods and anti-cancer therapy development. We also highlight current challenges and provide perspectives for further investigation.

【 授权许可】

Unknown