UC San Diego

Molecular interactions and functions in single cells are largely dependent on their subcellular location and local environment. The molecular activities in live cells within a population are usually heterogeneous and dynamic. Therefore, it is crucial to develop high- throughput live- cell imaging and quantification methods to interpret the comprehensive landscape of molecular events in space and time. Here we present an efficient and user-friendly software package, Fluocell, to quantitatively analyze the dynamic sequences of FRET imaging data with subcellular resolutions. In addition to FRET image visualization and high throughput subcellular analysis, Fluocell also provides group statistics and kinetic analysis, as well as 3D re-construction functions of live-cell FRET images. Therefore, Fluocell provides an integrative environment for live-cell imaging analysis. The goal is to provide a standardized analysis pipeline, toward the ultimate goals of constructing comprehensive molecular maps with subcellular and dynamic resolutions in all cell types