研究目的
To develop a noninvasive, label-free method for characterizing single cell metabolism in droplets using fluorescence lifetime imaging microscopy (FLIM) and the phasor approach, aiming to distinguish individual cells based on their metabolic states.
研究成果
The study presents a noninvasive, label-free single cell analysis platform combining droplet micro?uidic technology and FLIM. It successfully distinguishes between different leukemia cell types and between proliferating and quiescent states based on metabolic signatures. The method shows promise for applications in early stage tumor and leukemia screening and personalized therapy.
研究不足
The encapsulation efficiency is limited by Poisson statistics, and there is a trade-off between single cell encapsulation efficiency and the rate of cell doublets. The method requires optimization of parameters to maximize encapsulation efficiency and FLIM performance.