About SimpliCyte
For more than a decade, we've watched image analysis tools become incredibly powerful. But as these tools and methods have grown in complexity, so have the workflows researchers rely on to produce meaningful data.
Parameters buried in branching interfaces. Functionality tucked into expansive menus. Disjointed pipelines that must be carefully orchestrated to produce meaningful results.
More complexity. More development time. More manual effort.
We believe there is a better way.
SimpliCyte is an image analysis platform built around a simple idea: powerful software doesn't have to be complicated. It should help researchers move from raw image data to meaningful results with less friction, less overhead, and less time spent wrestling with software.
Simple. Effective. Purpose-built.
If that sounds like a breath of fresh air, we'd love to hear from you.
Meet the Founder
Michael Downing | Founder, SimpliCyte
SimpliCyte was founded by Michael Downing, a computational scientist and software engineer with more than a decade of experience developing image analysis solutions for biological research.
Throughout his career, Michael worked alongside researchers using advanced microscopy, multiplex imaging, and AI-driven analysis. While the capabilities of these technologies continued to grow, so did the complexity of the software required to use them. Too much time was spent building workflows, moving data between tools, and troubleshooting pipelines instead of answering biological questions.
SimpliCyte was created to change that. By combining modern software engineering and AI with deep experience in computational biology and image analysis, the platform is designed to make powerful image analysis more intuitive, reproducible, and accessible to researchers.
“I founded SimpliCyte because I believe image analysis software should be simple. Simple to use. Simple to understand. Science is hard enough. When workflows are simplified through careful, intentional design, scientists are free to focus on discovery.”