Medical data analysis framework

I had the opportunity to collaborate with the founder of terraFlow to create a diagram illustrating their data analysis framework. terraFlow is a startup that offers an automated pipeline for analyzing complex cytometry datasets, providing researchers with a simplified process to gain insights from their data.

The figure visually represents the two contrasting approaches to analyzing cytometry data: traditional clustering methods and terraFlow’s approach. The diagram showcases how terraFlow's pipeline identifies explicit cell populations, while the traditional method only leads to the identification of major subtypes.

My task was to transform an initial sketch with outdated graphics into a clear and engaging diagram. I redesigned, reorganized, and simplified the visuals, while maintaining accuracy in depicting the data analysis processes. This involved strategically using color and layout to enhance the visual flow and highlight the key differences between the two data analysis approaches.