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Updated: Aug 7, 2026
Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
Published on: January 18, 2017
Improved spatial discrimination of protein reaction states in cells by global analysis and deconvolution of
P J Verveer1, A Squire, P I Bastiaens
1Cell Biology and Cell Biophysics Program, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.
Abstract:
The deconvolution of fluorescence lifetime imaging microscopy (FLIM) data that were processed with global analysis techniques is described. Global analysis of FLIM data enables the determination of relative numbers of molecules in different protein reaction states on a pixel-by-pixel basis in cells. The three-dimensional fluorescence distributions of each protein state can then be calculated and deconvolved. High-resolution maps of the relative concentrations of each state are then obtained from the deconvolved images. We applied these techniques to quantitatively image the phosphorylation state of ErbB1 receptors tagged with green fluorescent protein in MCF7 cells.
