AI-powered microscopy for faster diagnosis, stronger training, and disease intelligence
Ocular helps laboratories and health systems strengthen microscopy-based workflows through decision support, training tools, and structured diagnostic outputs.
Built for low-resource settings, Ocular connects frontline diagnosis, workforce development, and surveillance into one practical health system.
Capture at the point of use
Microscopy images can be captured within existing laboratory processes.
Interpret with more consistency
Decision support helps strengthen review quality across settings.
Turn routine work into insight
Structured outputs can support diagnosis, training feedback, and surveillance.
Built for practical adoption in resource-constrained environments.
Strengthening Microscopy-Based Diagnosis
In many low- and middle-income countries, microscopy remains central to diagnosing diseases such as malaria, tuberculosis, and cervical cancer. Yet diagnostic quality can vary, skilled laboratory personnel are limited, and routine diagnostic activity is often underused for learning and public health response.
- Supports clinical decision-making within existing laboratory workflows
- Standardises training and strengthens workforce capacity
- Transforms routine diagnostic activity into actionable disease intelligence
One System, Three Connected Functions
Ocular is designed as a connected platform. It supports frontline diagnosis, strengthens workforce development, and enables structured outputs that can inform surveillance and response.
Diagnosis
Supports microscopy interpretation in routine laboratory workflows through AI-assisted decision support.
Training
Improves consistency in microscopy teaching, simulation, and professional development.
Surveillance
Turns routine diagnostic outputs into usable health system intelligence for monitoring and response.
Where Ocular Creates Value
Ocular is designed for real-world use across care delivery, training environments, and public health systems.
Clinics and Laboratories
Supports microscopy-based diagnostic workflows with AI-assisted interpretation and structured outputs.
Training Institutions
Strengthens microscopy teaching and simulation for students, technicians, and continuing professional development.
Health Systems
Enables disease intelligence by transforming routine diagnostic activity into system-level insight.
Signals from Ongoing Testing and Demonstration Activities
Ocular is being evaluated across clinical, training, and public health use cases to understand how AI-enabled microscopy can strengthen diagnostic quality, workforce development, and disease intelligence.
Faster workflows
Supports shorter turnaround in microscopy-based diagnostic processes.
Greater consistency
Helps reduce variability in interpretation across users and settings.
Stronger workforce
Supports skill development, standardisation, and confidence in training contexts.
Wider deployment
Designed for use with existing microscopes and smartphones in low-resource environments.
Actionable intelligence
Enables structured outputs that can support surveillance, planning, and response.
Products and Services
Ocular combines diagnostic decision support, workforce development, disease intelligence, and applied AI research into one connected ecosystem.
Ocular DX
AI-enabled decision support for microscopy-based workflows, helping improve interpretation consistency and quality.
Ocular Teaching Aid
Microscopy teaching and simulation tools that support annotation, feedback, and workforce development.
Ocular Surveillance Tool
Disease intelligence capabilities built on structured diagnostic outputs for monitoring and response.
Makerere AI Health Lab
Applied AI research, collaboration, and innovation supporting Ocular’s development and evaluation.
Advancing Diagnostic Quality Through Collaboration
Ocular is designed to support clinical decision-making, workforce development, and disease intelligence. Expanding this work requires collaboration with healthcare institutions, researchers, educators, and public health partners committed to stronger diagnostic systems.
Funding Partner
Collaborating Partners
