Abstract
The flagellar beat is extracted from human sperm digital imaging microscopy and used to determine the flow around the cell and its trajectory, via boundary element simulation. Comparison of the predicted cell trajectory with observation demonstrates that simulation can predict fine-scale sperm dynamics at the qualitative level. The flow field is also observed to reduce to a time-dependent summation of regularized Stokes flow singularities, approximated at leading order by a blinking force triplet. Such regularized singularity decompositions may be used to upscale cell level detail into population models of human sperm motility.
Original language | English |
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Article number | 124501 |
Number of pages | 5 |
Journal | Physical Review Letters |
Volume | 118 |
Issue number | 12 |
Early online date | 23 Mar 2017 |
DOIs | |
Publication status | Published - 24 Mar 2017 |
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Coarse-graining the fluid flow around a human sperm
Smith, D. (Creator), Kirkman-Brown, J. (Creator), Ishimoto, K. (Creator), Gadelha, H. (Creator) & Gaffney, E. (Creator), University of Birmingham, 19 Feb 2017
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Coarse-graining the fluid flow around a human sperm / supporting data
Smith, D. (Creator), Kirkman-Brown, J. (Creator), Gadelha, H. (Creator), Gaffney, E. (Creator) & Ishimoto, K. (Creator), University of Birmingham, 2017
DOI: https://doi.org/10.25500/eData.bham.00000216
Dataset