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Data Worth Modeling: Process Discovery and Formulation with IMCStips on Hamilton STAR

Automated Liquid Handling
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Join IMCS’s Nolan Foreman and Kemp Proteins’ Carter Mitchell, PhD, for a practical look at how automated, functionalized tip-based workflows on the Hamilton STAR can generate high-quality data from early process discovery through formulation development. Get a closer look at how Hamilton's automation delivers consistent throughput and improved walkaway time for protein purification and buffer exchange workflows, helping labs reduce manual variability and generate the reliable experimental data needed to support DOE, AI, and machine learning models.

In this webinar, you’ll discover:

  • How Hamilton automation and IMCStips technologies work together to enable high-throughput protein purification and buffer exchange workflows, including dSPE, SizeX, and 2N1 applications 
  • Why consistent experimental data generated during screening, process development, and formulation can support DOE and data-driven AI/ML modeling
  • How IMCS, Hamilton, and end users can translate these workflows into real lab applications, with case studies from Kemp Proteins and IMCS
Two webinar presenters in circular portrait frames on a teal network-graphic background with a play button icon above

Speakers

  • Nolan, a Hamilton Company team member, smiling in a navy blazer and glasses against a blurred indoor background

    Nolan Foreman

    Field Applications Specialist II, IMCS
  • Black-and-white portrait of a person with a shaved head, beard, and round-frame glasses

    Carter Mitchell, PhD

    Chief Scientific Officer, Kemp Proteins

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