Aging heterogeneity in therapeutic cells like human dermal fibroblasts presents a major challenge for consistent regenerative outcomes. Here, authors develop a label-free, high-throughput nanosensor chemical cytometry platform that quantifies single-cell aging phenotypes and correlates them with genomic markers to predict therapeutic efficacy.
- Youngho Song
- Inwoo Seo
- Soo-Yeon Cho
