Fluorescence Lifetime

Fluorescence lifetime imaging (FLI) measures the decay time of emitted fluorescence, providing valuable information about molecular interactions and biological processes. Current research focuses on improving FLI speed and resolution through computational methods, including deep learning architectures like recurrent neural networks (RNNs) and extreme learning machines (ELMs), and advanced image processing techniques such as super-resolution algorithms and latent variable unmixing. These advancements aim to enable real-time FLI analysis for faster biological studies and improved diagnostic capabilities in fields like biomedical imaging and cancer research, ultimately enhancing the speed and accuracy of data acquisition and analysis.