Abstract
Understanding the dynamic processes underlying living organisms is vital to combating disease and improving human health care. A major challenge in biomedical research is to unravel the spatiotemporal relationships that operate within these complex systems. Time-lapse experiments commonly generate data sets containing thousands of images with hundreds of objects to be analyzed, making automated methods necessary. Proper setup of the microscope system can ensure that image quality is high, frames are in registration, and noise is not restrictive. Image preprocessing is vital in preparing images for motion analysis. Cells and particles must be segmented and associated among frames, and their trajectories analyzed, before biological conclusions can be drawn.
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