🚀 New in JACS: We present FLIMngo, a deep learning model that predicts fluorescence lifetimes from low-photon FLIM data — enabling fast, in vivo imaging without retraining. Now open-source!
📄 doi.org/10.1021/jacs...
🔬 @ceb.cam.ac.uk
#DeepLearning#Microscopy#FLIM#Neurodegeneration #OpenScience
doi.org
Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging
Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a sample’s microenvironment. However, data collection and interpretati...
