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Home > Digital Pathology Podcast > How To Overcome Challenges In Image Analysis For Spatial Biology w/ Lorenz Rognoni, Ultivue


	Podcast:		Digital Pathology Podcast
	Episode:		How To Overcome Challenges In Image Analysis For Spatial Biology w/ Lorenz Rognoni, Ultivue
	Category:		Science & Medicine
	Duration:		00:20:41
	Publish Date:		2023-06-08 14:00:00
	Description:		Welcome, everyone, to the podcast! Today, I have the pleasure of introducing our guest, Lorenz Rognoni, the Director of Image Data Science at Ultivue. Ultivue specializes in spatial biology and image analysis, and Lorenz is an expert in the field of multiplex immunofluorescence (IF) and image data science. In our conversation, we dive into the challenges posed by multiplex IF when it comes to image analysis. We discuss the challenges encountered in multiplex IF analysis, such as tissue preparation artifacts, tissue morphology, and antibody-specific staining. Lorenz emphasizes the heterogeneity of tissues, which can vary across different parts of the body, species, and indications, making automated analysis difficult. While visual evaluation by experts works well for classical stains, high-dimensional data requires a different approach. Regarding the role of brightfield imaging in spatial biology, Lorenz explains that it still has its place, especially for robust and scalable analysis. While multiplex IF provides maximum information during the exploratory phase, he suggests transitioning to simpler approaches, such as singleplex IF or even brightfield imaging, when the focus shifts to specific biomarkers and data mining. Finally, we discuss the potential pitfalls and challenges in transitioning from image analysis to analyzing the data generated. Lorenz emphasizes the need to extract meaningful information from millions of cells, define relevant phenotypes, and consider the downstream data mining process. THIS EPISODE'S RESOURCES: Lorenz Rognoni on LinkedIn Ultivue Official Website ----------------------------------------------------------------- Bridging the Gap between Pathology and Computer Science - FREE Online Course Digital Pathology Starter Kit Support the show Get your "Digital Pathology Beginners Guide" E-book for free! Sign up for the waiting list here.
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