title: Artificial neural network approaches for fluorescence lifetime imaging techniques.
abstract: A novel high-speed fluorescence lifetime imaging (FLIM) analysis method based on artificial neural networks (ANN) has been proposed. In terms of image generation, the proposed ANN-FLIM method does not require iterative searching procedures or initial conditions, and it can generate lifetime images at least 180-fold faster than conventional least squares curve-fitting software tools. The advantages of ANN-FLIM were demonstrated on both synthesized and experimental data, showing that it has great potential to fuel current revolutions in rapid FLIM technologies.
authors.forename: Gang
authors.initials: G
authors.lastname: Wu
authors.forename: Thomas
authors.initials: T
authors.lastname: Nowotny
authors.forename: Yongliang
authors.initials: Y
authors.lastname: Zhang
authors.forename: Hong-Qi
authors.initials: HQ
authors.lastname: Yu
authors.forename: David Day-Uei
authors.initials: DD
authors.lastname: Li