Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA.
Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Nat Commun. 2024 Nov 1;15(1):9444. doi: 10.1038/s41467-024-52932-z.
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.
高通量筛选技术是揭示生物学奥秘的关键。然而,液滴微流控技术在实现单细胞分辨率、超高通量筛选方面的承诺在很大程度上仍未实现。在多步分析中,不可避免的多分散液滴尺寸导致的液滴分选误差严重限制了该技术的有效性和实用性,特别是在筛选大型文库时。即使是相对较低的 1%的分选误差,也会在 100 万个液滴的筛选中产生 10000 个错误的分选,这给下游验证带来了不合理的巨大负担。在这里,我们提出了 NOVAsort(基于下一代光体积的精确液滴分选器),这是一种能够基于大小和荧光强度区分液滴的设备。其假阳性和假阴性的比例分别降低了 1000 倍和 10000 倍。NOVAsort 解决了传统液滴分选方法的挑战,为液滴微流控分析中的准确性和通量设定了标准。