NOVAsort for error-free droplet microfluidics

Han Zhang, Rohit Gupte, Yuwen Li, Can Huang, Adrian R. Guzman, Jeong Jae Han, Haemin Jung, Rushant Sabnis, Paul Figueiredo and Arum Han ()
Additional contact information
Han Zhang: Texas A&M University
Rohit Gupte: Texas A&M University
Yuwen Li: Texas A&M University
Can Huang: Texas A&M University
Adrian R. Guzman: Texas A&M University
Jeong Jae Han: Texas A&M University
Haemin Jung: Texas A&M University
Rushant Sabnis: Texas A&M University
Paul Figueiredo: University of Missouri
Arum Han: Texas A&M University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract High-throughput screening techniques are pivotal to unlocking the mysteries of biology. Yet, the promise of droplet microfluidics in enabling single-cell resolution, ultra-high-throughput screening remains largely unfulfilled. Droplet sorting errors caused by polydisperse droplet sizes that are often inevitable in multi-step assays have severely limited the effectiveness and utility of this technique, especially when screening large libraries. Even a relatively low 1% sorting error results in 10,000 false calls in a 1,000,000 droplet screen, imposing an unreasonably large burden on downstream validation. Here, we present NOVAsort (Next-generation Opto-Volume-based Accurate droplet sorter), a device capable of discerning droplets based on both size and fluorescence intensity. With a 1000- and 10,000-fold reduction in false positives and false negatives, respectively. NOVAsort addresses the challenges of conventional droplet sorting approaches and sets standards for accuracy and throughput in droplet microfluidic assays.

Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-52932-z Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52932-z

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-52932-z

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().