Casting a Wider Net in Zebrafish Screening with Automated Microscopy and Image Analysis

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Zebrafish are rapidly becoming a popular model organism for studies, particularly for drug screening and toxicology studies. Their benefits include fast development, economical husbandry, and direct amenability to microscopy since embryos are transparent. While imaging is fairly straightforward, in many cases, a substantial bottleneck to automated workflows is image analysis.

In this webinar, Dr. Jason Otterstrom and Dr. Alexandra Lubin will describe the AI-powered analysis platform their teams have developed, highlighting a range of applications validating its performance. In brief, the easy-to-use software automatically identifies the fish outline, and internal anatomy & body regions with no required user inputs.

They will demonstrate the applicability of the solution in the context of counting GFP-labeled hematopoietic stem cells specifically in the tail region, along with measurement of x-ray induced apoptosis and dual-color analysis. In this fashion, this platform enables true high-content screening of zebrafish.

Key Learning Objectives: 

• What is high-content imaging and how does it apply to Zebrafish
• How Deep-Learning can make analysis of zebrafish images truly high-content by extracting the fish’s anatomy
• Learn example assays where automated microscopy can facilitate use of zebrafish for screening studies
• One solution to orient zebrafish embryos without manual manipulation through specialized plates and software

Who is this webinar for: 

• Researchers using zebrafish and microscopy in their work
• Researchers looking for a model organism to do in vivo toxicology or drug screening
• People interested in automated screening of whole organisms