Machine learning is gaining popularity in the commercial world. but its benefits are yet to be well-utilised by many in the microfluidics community. There is immense potential in bridging the gap between applied engineering and artificial intelligence as well as statistics. We illustrate this by a case study investigating the sorting of sperm cells for assisted reproduction. https://www.kingarte.com/product-category/shippingother-packing/