Fluorescence lifetime parameters estimation with Transformer Based Deep Learning Model

Abstract

We introduce MFLI-Net a transformer-based deep learning model that incorporates the pixel-wise instrument response function to correct distance-related offset changes from the camera. MFLI-Net was validated using in vitro fluorescence samples placed on several heights.