The study of intracellular dynamic processes is of fundamental importance for understanding a wide variety of diseases and developing effective drugs and therapies. Advanced fluorescence microscopy imaging systems nowadays allow the recording of virtually any type of process in space and time with super-resolved detail and with high sensitivity and specificity. The large volume and high information content of the resulting image data, and the desire to obtain objective, quantitative descriptions and biophysical models of the processes of interest, require a high level of automation in data analysis. Two key tasks in extracting biologically meaningful information about intracellular dynamics from image data are particle tracking and particle trajectory analysis. Here we present state-of-the-art software tools for these tasks and describe how to use them.

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Keywords Feature extraction, Feature visualization, Fluorescence microscopy, Image analysis, Intracellular dynamics, Particle tracking, Software tools, Trajectory analysis
Persistent URL dx.doi.org/10.1007/978-1-4939-6810-7_14, hdl.handle.net/1765/98888
Series Methods in Molecular Biology
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Citation
Yao, Y, Smal, I, Grigoriev, I, Martin, M, Akhmanova, A.S, & Meijering, E. (2017). Automated analysis of intracellular dynamic processes. In Methods in Molecular Biology. doi:10.1007/978-1-4939-6810-7_14