NOV 16, 2017 12:00 PM PST

WEBINAR: Samples and Data - The Two Layers of Integrations

  • Project Manager, Beckman Coulter Life Sciences
      Russell Green has a degree in biochemistry and molecular biology and a PhD in crystallography from the University of Leeds (UK).  A 10-year veteran of automation at Beckman Coulter, Russell worked in research for 2 years at the University of Leeds, then moved into a role as an automation specialist before taking on project management duties in the UK in 2010 and moving into the EMEAI marketing team as a field marketing manager in 2012. Most recently he returned to project management by leading the developed markets team for automation.
    • Staff Systems Engineer, Beckman Coulter Life Sciences
        Tim Sherrill is a Staff Systems Engineer in the Integrated Solutions group of Beckman Coulter Life Sciences. He received his degree in Computer Science from Rose-Hulman Institute of Technology. Tim has spent his career with Beckman Coulter in the areas of software research and development, custom engineering services, field project management, and life science automation. His projects have focused in the areas of automated data processing and last year, a new version of Beckman Coulter's data management product, DART.


      DATE: November 16, 2017
      TIME: 12:00PM PT

      Automating complex workflows that require manipulating or assessing samples over days or weeks often require thinking beyond a liquid handler.  The benefits of integrating additional storage devices and analyzers can occur on two broad levels.  At the sample level, the physical integration of devices with the liquid handler can remove the need to manually interact with each plate, thereby reducing the effort required for higher sample throughput while also reducing the potential for human errors.  At the data level, sample processing and analyzer data can be immediately linked to ensure no errors are introduced during data deconvolution.  In addition, this data can be used to directly drive the liquid handling on an integrated system.  We will describe how these benefits can apply to an integrated cell line development process that involves the plating, expansion, and screening of single cell-derived colonies to establish a protein-expression cell line.

      Learning Objectives:

      • How physically integrating storage and analyzer devices to a Biomek Workstation can reduce the workload and errors with higher throughput applications.
      • How automated data integration can reduce errors in data handling throughout a complex or multi-day workflow
      • How data-driven pipetting can automate steps such as hit picking without manual intervention

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