Incorporating Computer Vision Into Crystallization Workflows - METTLER TOLEDO
On Demand Webinar

Incorporating Computer Vision Into Crystallization Workflows

On Demand Webinar

This presentation discusses the use of HeinSight (a modular vision package) to support the deployment of intelligent automation in chemical discovery.

Tandem Process Monitoring and Control Using HPLC and In-Situ Microscopy
Tandem Process Monitoring and Control Using HPLC and In-Situ Microscopy

Chemists spend an inordinate amount of time performing low-level tasks based on visual observation.For relatively routine synthetic organic workflow sequences, automation is beneficial. However, the full potential of integrated automated processes has proven challenging due to the dynamic and ever evolving environment of a chemical research lab.

In many cases, adding simple vision algorithms to control and monitor most of the processes in a standard synthetic lab can unlock the potential of automated workflows, and allow them to be rapidly and efficiently deployed to replace time and labor-intensive tasks. Furthermore, computer vision can play an even more impactful role when combined with advanced robotics. Image analysis algorithms can now transform simple digital cameras into powerful analytical tools for laboratory use.

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Prof. Jason E. Hein - University of British Columbia
26 Minutes
English
Jason Hein - University of British Columbia
Jason Hein - University of British Columbia
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