Best Practices in IHC-based Tissue Image Analysis for Immuno-oncology, Oncology, and Diabetes

Click here to register for free and to view the entire webinar:
xtalks.com/Best...
Speakers:
Anindita Bhoumik, M.S., Scientist, R&D, ViaCyte, Inc.
Jeff Dzubay, Ph.D., Field Application Scientist, Definiens
Douglas Bowman, Associate Scientific Fellow, Takeda Pharmaceuticals International Co
The use of advanced image analysis techniques with IHC assays is enabling robust quantitative analysis of biomarker expression and localization in tissue samples. In this webinar, three unique case studies will be presented that demonstrate how IHC-based assays have been used to advance basic research and preclinical studies in diabetes, immuno-oncology, and oncology:
Case Study 1: Development of an Encapsulated Cell Replacement Therapy for Diabetes
Anindita Bhoumik of ViaCyte, Inc. will review the development of a stem cell-based islet replacement therapy for treatment of patients with diabetes. She will address how advanced image analysis enabled product characterization with single and dual IHC staining.
Case Study 2: An Image Analysis Algorithm Based on the Hue Saturation Density Transformation, an Important Tool for Melanoma Immunotherapy Research
Dr. Jeff Dzubay of Definiens will review how to improve melanoma research. He will demonstrate how to successfully separate red stained CD3 and CD8 positive immune cells from a background of brown melanocytes in TMA core samples from melanoma patients.
Case Study 3: Utilizing Definiens Tissue Studio® to Support Preclinical Assay Development for IHC-based Biomarkers
Douglas Bowman of Takeda Pharmaceuticals will highlight the image analysis workflow deployed at Takeda for creating and analyzing IHC-based biomarkers. Using the PD assay workflow for context, he will highlight preclinical IHC image analysis and provide tips and tricks they have learned to get the most out of tissue image analysis