Massively Parallel Selection of NanoCluster Beacons (Adv. Mater. 41/2022). Issue 41 (13th October 2022)

• Record Type: Journal Article
• Authors: Kuo, Yu‐An; Jung, Cheulhee; Chen, Yu‐An; Kuo, Hung‐Che; Zhao, Oliver S.; Nguyen, Trung D.; Rybarski, James R.; Hong, Soonwoo; Chen, Yuan‐I; Wylie, Dennis C.; Hawkins, John A.; Walker, Jada N.; Shields, Samuel W. J.; Brodbelt, Jennifer S.; Petty, Jeffrey T.; Finkelstein, Ilya J.; Yeh, Hsin‐Chih
• Is Part Of: Advanced materials. Volume 34:Issue 41(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-10-13
• Subjects: fluorescent nanomaterials -- high‐throughput screening -- NanoCluster Beacons -- next‐generation sequencing -- silver nanoclusters; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202270286
• Languages: English
• ISSNs: 0935-9648

Abstract

Abstract : Fluorescent Nanomaterials By repurposing next‐generation sequencing chips, millions of fluorescent NanoCluster Beacons (NCBs) can be screened in a single experiment. Combining this high‐throughput screening platform with machine‐learning algorithms, in article number 2204957, Hsin‐Chih Yeh and co‐workers establish a pipeline to design bright and multicolor NCBs in silico.