Transforming Diagnostics with AI-Powered Microscopy
The Challenge: A Healthcare Crisis in Diagnostics
- Limited access to trained lab technicians
- Time-consuming and error-prone manual microscopy
- Rural and underserved areas lack proper diagnostic tools
- Delayed diagnoses leading to misdiagnosis, drug resistance, and preventable deaths
In many parts of Uganda and across Africa, diagnosing diseases like malaria, tuberculosis, and cervical cancer remains a major challenge. According to the World Health Organization, a trained microscopist is expected to analyze 20 slides per day. However, this process is not only time-consuming but also physically demanding—technicians manually count parasites on each slide, leading to eye strain and fatigue.
With only one laboratory technician available for every 16,000 patients in Uganda, timely diagnosis is out of reach for many. In rural areas, the situation is even more dire, where a lack of trained microscopists means diseases are often diagnosed based on symptoms alone. This leads to misdiagnoses, delayed treatments, increased drug resistance, and unnecessary healthcare costs.
Ocular is changing the game by empowering healthcare professionals with AI-powered microscopy. Our innovative adapter seamlessly connects to any smartphone and microscope, leveraging AI to enhance and accelerate disease detection at the point of care. By automating parasite counting and analysis, Ocular significantly reduces the burden on lab technicians, cutting diagnostic time by 25% and increasing throughput by up to 60%.
With AI-driven, low-cost, and scalable solutions, Ocular is making high-quality diagnostics more accessible—ensuring that every diagnosis is faster, smarter, and more accurate. Because when it comes to saving lives, every second counts.
Our Solution: AI-Powered Microscopy for Smarter Diagnostics
- AI-driven microscopy for faster, more accurate disease detection
- Smartphone-compatible adapter for enhanced accessibility
- Point-of-care diagnostics for malaria, tuberculosis, and cervical cancer
- Cost-effective, scalable, and designed for resource-limited setting
Ocular is transforming disease diagnostics by integrating AI-powered microscopy into existing healthcare workflows, enabling faster, more accurate, and scalable disease detection at the point of care. The technology combines AI-driven image analysis with mobile microscopy, allowing healthcare professionals to diagnose malaria, tuberculosis, and cervical cancer with improved efficiency and accuracy.
The key innovation lies in a 3D-printed adapter that attaches to any smartphone and microscope, transforming traditional lab tools into AI-enhanced diagnostic systems. The smartphone captures high-quality images of biological samples, which are then analyzed by Ocular’s AI-powered application. The AI system detects and classifies parasites and pathogens in real time, significantly reducing diagnostic time while enhancing precision.
Our Impact: Saving Lives Through Smarter Diagnostics
- Reducing diagnostic time by 25%
- Increasing diagnostic throughput by 60%
- Empowering healthcare professionals with AI tools
- Expanding access to rural and underserved communities
Faster, Smarter Diagnostics: Ocular's AI-powered microscopy cuts diagnostic time by at least 25%, enabling healthcare professionals to analyze more samples in less time—leading to quicker treatment decisions and improved patient care.
Improved Accuracy: With AI-driven precision, Ocular minimizes human error, ensuring reliable and consistent diagnoses for malaria, tuberculosis, and cervical cancer.
Affordable & Scalable: Designed for cost-effectiveness, Ocular leverages widely available smartphones and microscopes—no need for expensive diagnostic equipment. This makes high-quality diagnostics accessible anywhere.
Bringing Healthcare to the Frontlines: From remote villages to urban clinics, Ocular empowers healthcare professionals at the point of care, making advanced disease detection possible even in resource-limited settings.
Smarter Disease Surveillance: Ocular integrates machine learning and real-time data collection, helping healthcare systems track outbreaks, detect patterns, and respond faster to emerging health threats.