Over the past five years, advances in materials science, chemistry, engineering and artificial intelligence have yielded a new class of affordable image cytometers for automated single-cell phenotyping of scant samples. In this Review, these technologies are introduced and their potential molecular-diagnostic roles in resource-limited oncology settings are discussed.
- Ralph Weissleder
- Hakho Lee