An established digital microfluidics platform that programmatically manipulates nanoliter droplets to automate biological discovery and screening. It integrates heating/cooling, magnetic-bead purification, automated liquid handling, and motorized imaging with AI-enabled analysis, supporting enzyme and inhibitor assays and plant-relevant samples such as algae and protoplasts, with software-reconfigurable workflows.
This solution is an established digital microfluidics (DMF) platform that uses electrostatic forces on a compact chip to programmatically dispense, move, mix, split, and incubate nanoliter droplets. It replaces manual liquid handling with software-controlled workflows, enabling parallel sample and reagent processing for biological discovery and screening. The platform is designed to support diverse applications, from enzyme and inhibitor assays to plant-relevant materials such as proteins, algae, and protoplasts. Because protocols are reconfigured in software, screening workflows can be rapidly adapted as experimental needs evolve. The offering combines the DropBot open-source digital microfluidic controller with integrated modules for thermal control, purification, automated liquid input/output, and automated microscopy with AI-enabled analysis.
Key capabilities:
The platform is backed by more than 10 years of DMF expertise, including assay development and custom workflows for external organizations. It is available through a commercial subsidiary with open-source controller hardware used by academic and industrial researchers.
The core DMF platform is commercially available and has been used in published studies demonstrating algae culture, droplet-based protoplast analysis, and automated whole-blood assays. The platform can be configured through a structured 12-month adaptation program: Phase 1 captures requirements and builds or tunes the integrated hardware and software; Phase 2 develops and optimizes automated workflows for selected enzyme, inhibitor, and plant-relevant assays; Phase 3 benchmarks these workflows against standard methods for performance, reproducibility, hands-on time, reagent use, and throughput, with a GO/NO-GO assessment before final delivery. This structured path moves application-specific configurations from early validation to deployment readiness.
Blue Ocean Technologies is a Toronto-based biotech startup specializing in digital microfluidics (DMF) for rapid, point-of-care diagnostics. Founded in 2022 as a spinout from the University of Toronto, the company develops automated testing systems designed for high-stakes environments, such as emergency medicine and trauma care. By utilizing AI-driven detection algorithms and compact hardware, their platform aims to deliver lab-quality results in minutes using low-cost, disposable cartridges. The company’s capabilities were further strengthened by the acquisition of Sci-Bots, an expert in microfluidic hardware and the developer of the DropBot, an open-source digital microfluidic controller used globally by academic and industrial researchers.
The company addresses the critical need for fast, bedside diagnostics to reduce the burden on centralized healthcare infrastructure. Beyond their core diagnostic development, they provide R&D consulting and custom microfluidic system design for sectors including life sciences, agriculture, and industrial applications. By offering end-to-end support—from system design and prototyping to software integration—Blue Ocean Technologies helps partners overcome R&D limitations and transition complex microfluidic concepts into market-ready products. Their approach streamlines workflows, improves experimental reproducibility, and enables real-time decision-making in clinical and remote settings.