Novel laser-fabricated plasmonic chip combines 185 nm Raman resolution and deep learning to identify and sort cancer cells with 96.2% accuracy.

This article is based on a poster originally authored by Barbie Wang, Maria Giebler, Adrian Freeman, Karen Hogg, Adam Corrigan and Hitesh Sanganee. This poster is being hosted on this website in its ...

Chinese researchers have developed an advanced, high-throughput single-cell sorting platform that enables direct isolation of living cells with targeted metabolic profiles from large mutant libraries.

Within complex biological samples, the most important cells are often the hardest to find. Identifying, characterizing, and isolating rare or functionally-distinct populations has become central to ...