We use DropMap, a droplet-based microfluidic platform, to measure immune cell functionality at single-cell resolution. This technology encapsulates individual cells into picoliter-sized water-in-oil droplets, enabling rapid, high-throughput analysis of 10,000 to over 1 million cells per run.
Each droplet acts as an isolated microenvironment—perfect for detecting secreted or membrane-bound molecules without interference from neighboring cells. The confined volume allows fast accumulation of analytes, cutting assay time and minimizing dilution, while reducing cell handling bias. This approach is foundational to our immune cell assays across a wide range of targets, including B cells, T cells, monocytes, neutrophils, and cancer cells.
To streamline antibody discovery, we combine droplet microfluidics with phenotype-driven selection. Traditional workflows screen for antigen binding first, then characterize selected antibodies later—a process that’s time-consuming and inefficient when dealing with large repertoires.
Our approach flips that model: we use double emulsion droplet sorting to pre-select antibodies with favorable properties (e.g. affinity, specificity) before sequencing. This enables a direct link between phenotype and genotype at the single-cell level, accelerating the discovery of high-quality antibody candidates for diagnostics, therapeutics, and research.