Resources and datasets for automated high-throughput droplet screening by iSort
<p>Contains the design files and source data linked to the following publication in Cell Reports Methods (2023, https://doi.org/10.1016/j.crmeth.2023.100478)</p> <p><strong><em>iSort </em></strong><strong>enables automated complex microfluidic droplet sorting in an effort to democratize technology.</strong></p> <p><strong>Abstract: </strong><br> Fluorescence activated droplet sorting (FADS) is a widely used microfluidic technique for high throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, resulting in a large combinatorial space that is challenging to optimize systematically. Additionally, there is currently no way to track every single droplet within a screen, leading to compromised sorting and “hidden” false positive events. To overcome all these limitations, we have developed a setup in which the droplet frequency, spacing and trajectory at the sorting junction are monitored in real time using impedance analysis. The resulting data is used to continuously optimize all parameters automatically and to counteract perturbations, resulting in higher throughput, higher reproducibility, increased robustness and a beginner-friendly character. We believe this provides a missing piece for the spreading of phenotypic single-cell analysis methods, similar to what we have seen for single-cell genomics platforms.</p> <p><strong>To cite:</strong> https://doi.org/10.1016/j.crmeth.2023.100478</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0