Biomedical research relies heavily on image analysis, but many labs can't afford expensive proprietary solutions.
An open-source platform could provide essential analysis tools with a focus on usability and community-driven development.
University labs and small research facilities would pay for support, customization, or cloud-based processing features.
The MVP could start with basic cell counting and measurement tools, compatible with common microscope formats.
The biggest risk is competing with established platforms that have more features and integrations.