The Physical Lab Meets AI: How Benchling and HighRes Close the Automation Gap
Scientists at large biopharma spend an average of 18 hours a week on data logistics: exporting from instruments, reformatting spreadsheets, re-keying results into the ELN. All work that serves to move data around, instead of science forward.
In this webinar, Crystal McKinnon of HighRes and Nari Kang of Benchling walk through a live demonstration of the Benchling + HighRes integration. Together, they show what a fully automated pipeline from robot to notebook looks like, built around a real ELISA workflow, end to end.
How a scientist initiates an experiment directly from Benchling
How results: fitted models, heat maps, curve fits, custom visualizations - land back in the notebook automatically
What a zero-click ELISA workflow looks like in practice
