Kinetic modelling approaches to in vivo imaging

By R. Phair, Tom Misteli. Nature reviews. Molecular cell biology, 2001

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In vivo dynamics of RNA polymerase II transcription (2007, methodology): “Real-time transcription was monitored via the dynamics of fluorescent fusion protein”
The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging (2005, background): “This is especially true for fluorescence or bioluminescence, where the signal recorded at any point in the sample gives a direct measure of the number of target molecules in the sample [1-4].”
Stochastic mechano-chemical kinetics of molecular motors: A multidisciplinary enterprise from a physicist’s perspective (2012, background): “chemical rate equations can be expressed as [2186, 2187, 2188] dcs dt = fs(c1, c2, .”
Reconstruction of cellular signalling networks and analysis of their properties (2005, background): “Fourth, fluorescence imaging technologies are generating data regarding protein localization and the dynamics of signalling processe”
Molecular imaging in living subjects: seeing fundamental biological processes in a new light. (2003, methodology): “The combination of dynamic imaging and computational modeling will emerge as a powerful tool for the quantification of biophysical properties of molecules and processes (Phair and Misteli 2001).”