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PerkinElmer: Tissue Biomarker Analysis: A Practical Approach for Translational Research

October 11, 2018 @ 11:00 am - 12:00 pm EDT

Simultaneous quantitation of 6 or more biomarkers in intact tissue specimens holds the key to many questions concerning the biological basis of health and disease by allowing complex cellular interactions to be captured and analyzed. However, reliable detection remains elusive due to technical challenges from many sources, including antibody cross reactivity, difficulty in balancing signals from rare and abundant targets, tissue autofluorescence and interference between fluorophores, especially for co-localized targets.

In this webinar application scientists from PerkinElmer will present a practical and validated method for highly multiplexed tissue biomarker analysis that addresses many of these challenges. Opal™ staining is an antibody-agnostic technique, which produces highly specific and reproducible results and when combined with multispectral imaging systems, such as Vectra®, is able to detect eight or more biomarkers simultaneously in one tissue section. Simultaneous detection of multiple antigens on a single tissue with multispectral imaging and analysis reveals spatial relationships between cells with the resolution needed for high-precision proximity analysis and detection of intracellular localization of targeted antigens. By elucidating the relationships between cells, Opal staining allows you to see intercellular relationships in context of the microenvironment.

WATCH ON DEMAND

In this webinar, you will learn:

  • How to overcome key challenges inherent in multiplex biomarker analysis
  • Practical and validated approaches to multiplex IHC staining
  • Why multispectral imaging is important for generating high quality data
  • Methods for analyzing relationships between cells

 

Grady Carlson, PhD
Field Applications Scientist,
Quantitative Pathology Solutions
PerkinElmer

 

Linden Wyatt, PhD
Field Applications Scientist,
Quantitative Pathology Solutions
PerkinElmer

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