Recovery of phenotypically sorted cells using droplet-digital microfluidics

Abstract

Droplet microfluidics has become a ubiquitous and powerful tool for high-throughput phenotypic screening at the single-cell level. Large numbers of cells can be sorted for a variety of functions, including the secretion of antibodies with tailored properties. The recovery of cells from sorted droplets is still very poor compared to droplet sorting, usually being limited to around 50% of all sorted hits. Here, we present a fully integrated droplet-digital microfluidic platform for the isolation and the recovery of rare single cells and applied our system to antibody discovery. From our work, we have achieved an 18-fold increase in the recovery rate of individual cells and beads from droplets, as compared to conventional methods. We believe that the combination of high-throughput droplet generation with the on-demand control features of digital microfluidics will improve the number of characterized hits in single-cell -omics, antibody screens, directed evolution of enzymes, and beyond.

Graphical abstract: Recovery of phenotypically sorted cells using droplet-digital microfluidics

Supplementary files

Article information

Article type
Paper
Submitted
28 Apr 2025
Accepted
07 Jul 2025
First published
22 Jul 2025
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2025, Advance Article

Recovery of phenotypically sorted cells using droplet-digital microfluidics

Z. Deng, J. M. Perry, M. Weiss, R. Genth, A. Autour, C. A. Merten and S. C. C. Shih, Lab Chip, 2025, Advance Article , DOI: 10.1039/D5LC00415B

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements