Researchers are developing automated systems for sorting single cells using droplet microfluidics, with some approaches incorporating machine learning and artificial intelligence. These systems have potential applications in various fields, including cell therapy manufacturing and high-throughput screening. The technology is being explored for its ability to efficiently analyze and sort single cells, with possible uses in areas such as immune receptor chain pairing and microbial single-cell sorting.