Abbe Labs is engineering AI-powered Fourier Ptychographic Microscopy (FPM) systems. We build low-cost, stain-free, wide-field diagnostic rigs to detect Malaria, identify Neglected Tropical Diseases (NTDs), and screen for Cervical Cancer in resource-constrained environments.
High-end optical microscopes are fragile, expensive, and require chemical staining. More critically, emerging markets face a severe shortage of trained microscopists, leading to massive diagnostic bottlenecks that cost lives.
Africa needs an estimated 800,000 additional medical laboratory professionals. Technicians are overwhelmed by the sheer volume of daily manual smear reads. Hardware alone cannot solve this; automated, edge-AI analysis is mandatory.
Combining cases of Malaria (249M) and Schistosomiasis (240M+), alongside hundreds of millions of women requiring routine Cervical Cancer cytology screening, the need for rapid, decentralized diagnostics represents a massive public health procurement market.
The global AI diagnostics and digital microscopy market is surging. By decentralizing access through low-cost FPM hardware, Abbe Labs opens up emerging markets that traditional MedTech giants cannot reach.
By modifying and hardening the OpenFPM framework, we have engineered a proprietary computational rig. It bypasses expensive high-magnification lenses to deliver high-resolution, wide-field cellular data optimized for field deployment.
Our edge-based machine learning models are trained on diverse clinical samples. We automate the analysis of blood smears (Malaria), urine filters (Urogenital Schistosomiasis), Kato-Katz smears (STH), and cytology slides (Cervical Cancer).
Laboratory-grade precision engineered for real-world integration. We are actively conducting on-the-ground market validation and clinical pathway mapping across healthcare networks in Nigeria and Ghana.
A multidisciplinary leadership team bridging the gap between advanced systems engineering, clinical microbiology, and commercial execution.
Co-Founder & Chief Technology Officer
An Artificial Intelligence researcher and Systems Engineer with a PhD from Delft University of Technology. Endorsed by UKRI via the Global Talent route, Prosper leads the hardware and algorithmic development at Abbe Labs.
He brings over a decade of experience in computer vision, radiomics, and automated medical image processing. Previously, he designed and successfully field-validated the "Schistoscope"—an automated AI diagnostic microscope for parasite detection in West Africa.
Co-Founder & Chief Operating Officer
A commercial strategist bridging high-level corporate operations with on-the-ground market execution. Dickson combines rigorous analytical expertise from his tenure at OVO Energy with extensive B2B sales and supply chain experience at Nigerian Breweries PLC.
Crucially, Dickson's foundational background is in Microbiology from the University of Nigeria. With published academic research in infectious diseases and molecular typing, he ensures Abbe Labs' commercial roadmap aligns perfectly with clinical pathology requirements and local market realities.