Nature Communications (Nov 2024)

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 de Figueiredo,
  • Arum Han

DOI
https://doi.org/10.1038/s41467-024-52932-z
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 13

Abstract

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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.