Enhancing large particle recovery in high-throughput functional cell sorting through ΔBOP optimization
Year: 2025
Type: article
Abstract: Flow cytometry is a critical technology for single-cell analysis; however, sorting large particles (> 30 μm) remains challenging owing to low recovery rates. This study investigated the relationship between particle size and the Break-off point (BOP) and assessed the impact of large particles on droplet formation through a combination of simulations and experiments. The results revealed that interference between the particle-induced BOP and vibration-driven BOP leads to droplet instability-identified as the key factor limiting recovery. We introduce ΔBOP as the difference between these two BOPs and propose an optimization strategy to stabilize droplet formation. Implementing this ΔBOP-based approach increased recovery from 72.2% (794/1100) to 92.4% (1016/1100) for 35-µm particles and from 23.0% (115/500) to 75.6% (378/500) for 50-µm particles. This strategy demonstrates broad applicability for high-throughput single-cell functional analyses involving various particle types, including hydrogel particles, double emulsions, and agarose beads, and opens new possibilities for applications such as secretion profiling and intercellular communication research.
Source: Scientific Reports
Authors: Naohisa Sakamoto, Eikichi Shibata, Mitsuo Yoshimura, Haruto Namura, Yudai Yanashita, Shin Masuhara, Yusuke Uehara, Kenji Yamane, Hiroto Kasai, Motohiro Furuki, Yoshiharu Hayashi
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W4417530250