Single-cell multi-element analysis reveals element distribution pattern in human sperm.

Multiple elements in human sperm have been demonstrated to play significant roles in the reproductive process, but their simultaneous detection in single cells remains challenging. We propose a novel analytical procedure using single-cell inductively coupled plasma-time of flight-mass spectrometry (scICP-TOF-MS) to simultaneously quantify multiple elements of individual sperm cells. A promising label-free cell identification strategy based on the endogenous element was developed to obtain valid data. The element contents exhibited varied degrees of heterogeneity in single cells. Machine learning-based analysis of the multi-dimension dataset indicated different distribution patterns and physiological roles among the simultaneously detected elements.