In addition to showing the sperm's movement and behavior in real time, the novel method simultaneously provides detailed 3-D imaging of the sperm's form and structure to detect potential infertility-causing anomalies, such as the "bent tail" that prevents the cells from swimming straight.
The researchers said that this is the first technique for collecting data on sperm cell motility-a key predictor of IVF success-in three dimensions and over time.
Currently, sperm concentration and mobility in semen are assessed either by subjective visual evaluation or a process known as computer-assisted sperm analysis (CASA).
While the latter provides more detail and fewer errors than the former, CASA still only allows tracking and imaging in two dimensions.
In their new technique, the team of researchers from
The research is paper published in
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