Vision Based Automation of Chemical Workup Steps

Binghui Wang of Takeda presents Vision Based Automation of Chemical Workup Steps and details the use of vision-based automation to eliminate manual workup steps and enable autonomous chemical processing.

While chemical reaction steps have become increasingly automated, workup operations, especially multi-phase separations, remain one of the last major bottlenecks in laboratory workflows. These steps often require manual intervention to identify phase boundaries, wait for settling, or confirm clarity, introducing variability, slowing down throughput, and limiting the scalability of automation strategies. As a result, many otherwise automated processes still stall after reaction completion, preventing labs from realizing the full potential of end-to-end autonomous experimentation. 

In this webinar, Takeda demonstrates how a vision-based monitoring and control approach transforms these traditionally manual steps into fully automated, decision-driven workflows. By integrating real-time image analysis with reactor control systems, scientists can automatically detect phase changes, turbidity, and liquid levels—and use those insights to trigger downstream actions like heating, cooling, dosing, and separations. The result is a more robust, repeatable, and scalable automation framework that not only eliminates manual effort, but also enables continuous data collection, improved process understanding, and more efficient use of scientist time.