MAY 02, 2018 08:00 AM PDT

Five steps for publication-quality immunohistochemistry imaging

SPONSORED BY: Thermo Fisher Scientific
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Technical Application Scientist, Thermo Fisher Scientific
    Biography
      Jason has worked with Thermo Fisher Scientific since 1999. His initial work in research and development focused on the development of dyes and techniques primarily used for microscopy and imaging of cultured cell and tissue section samples. Jason's experience also included leading an R&D group that produced 36 new products and optimized many others. In his current role as a member of the technical support team for cellular analysis and Invitrogen™ EVOS™ cell imaging systems, Jason helps thousands of researchers a year to develop and optimize their protocols using cell imaging and analysis reagents, kits, and instruments. Prior to coming to Thermo Fisher Scientific, Jason earned a Bachelor of Arts in Biology at Hendrix College and a Masters of Science in Biology from Central Michigan University.

    Abstract:
    Date: May 2, 2018
    Time: 8:00am PDT

    Immunohistochemistry protocols, which utilize antibodies to visualize proteins in tissue sections, have many steps that need optimization to prevent nonspecific background effects, artifacts, or inadequate detection by dyes.

    This webinar will elucidate these steps as well as the careful precautions you need to take in order to help get specific labeling and publication-quality images to analyze your samples, draw conclusions, and ultimately publish your results.  The webinar walks you through each step, from embedding and running your sample through blocking, antibody labeling, mounting, and imaging the sample. The presenter has first-hand experience developing and using many of these products and draws upon four decades of development of IHC products by Thermo Fisher Scientific.
     

    Learning Objectives:

    • Learn the aspects of a successful immunohistochemistry protocol.    
    • Understand the typical optimizations and troubleshooting issues that may arise during antibody labeling.

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