Today my guest is Danielle Brown, a fellow veterinary pathologist, the General Manager at Charles River Laboratories Reno, Nevada, and a pioneer in the use of image analysis for toxicologic pathology. Together, we explored the ever-evolving role of image analysis in preclinical studies and how it enhances, rather than replaces, the expertise of pathologists.
This conversation is a deep dive into the intersection of pathology and technology, showcasing how image analysis is revolutionizing preclinical research. We also discuss the future of this technology and its implications for the industry.
Join us as we navigate the intricacies of image analysis, share insights on the collaborative process between pathologists and image analysis scientists, and look ahead to the exciting advancements on the horizon.
Key Discussion Points:
This episode is packed with valuable insights and practical advice for anyone involved in preclinical research or interested in the integration of image analysis in pathology. Danielle’s expertise and our discussion provide a roadmap for leveraging image analysis to increase evaluation efficiency and the granularity of your data.
THIS EPISODE'S RESOURCES:
📄 The paper Aleks and Danielle co-authored: "Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology"
📄 Learn more about GLP-compliant tissue image analysis at Charles River Laboratories.
▶️ Watch the full episode here: Image Analysis Enhances Pathology Evaluation of Preclinical Studies, not Replaces it.
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