Abstract
The combination of mathematical modelling and quantitative video-microscopy provides exciting opportunities for elucidating the mechanisms behind key processes in microbial ecology, ranging from cell navigation and nutrient cycling to biofilm establishment and symbioses. Central to this approach is the iterative process, whereby experiments and modelling inform one another in a virtuous cycle: vast quantities of experimental data help to test and refine mathematical models, the predictions from which feed back to the experimental design itself. This paper discusses recent technologies, emerging applications, and examples where calibrated mathematical models enable calculation of quantities that are otherwise extremely difficult to measure.
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