Abstract
This chapter describes ongoing engagement between mathematicians at the University of Birmingham and clinical scientists at the Centre for Human Reproductive Science, Birmingham Women’s NHS Foundation Trust focused on sperm motility, and its influence on wider clinical research. Sperm motility deficiencies may be implicated in about half of all cases of infertility, a pathology affecting around one in seven couples in Europe and costing hundreds of millions of pounds per year, in addition to considerable distress. While motility is fundamentally a mechanical process, the physical aspects of this phenomenon have hitherto played a relatively small part in clinical reproductive science research. Classical fluid mechanics—starting with the very low Reynolds number and associated creeping flow—are combined with high speed digital imaging, capture of the flagellar waveform, viscometry, and computational modelling of flow and flagellar forces. This work is providing new tools to assess drug therapies in development, and is contributing to developments internationally in how medical research is approaching sperm motility, for example in the use of viscous-matched media, micro-engineered channels for directing and sorting cells, and in revealing the physiology of fertilisation.
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References
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Acknowledgments
Support was provided by the Medical Research Council (Training Fellowship G0600178), Birmingham Science City, the Wellcome Trust Value in People scheme and the Science and Technology Facilities Council (project ST/G00451X/1).
The research was carried out with my mentor in reproductive medicine Jackson Kirkman-Brown MBE, former supervisors in mathematics, John Blake and Eamonn Gaffney, colleagues Petr Denissenko, Vasily Kantsler, Hermes Gadêlha, Ean Hin Ooi, members of the Centre for Human Reproductive Science and Birmingham Women’s Fertility Centre, and Cairn Research Ltd.
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Smith, D.J. (2016). Bringing Awareness of Fluid Mechanics to Reproductive Medicine. In: Aston, P., Mulholland, A., Tant, K. (eds) UK Success Stories in Industrial Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-25454-8_32
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DOI: https://doi.org/10.1007/978-3-319-25454-8_32
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