AI-Powered 3D Organoid Analysis

Ravian L. van Ineveld

Postdoc/Manager Imaging Center, Princess Máxima Center for Pediatric Oncology

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Ravian L. van Ineveld is a postdoctoral researcher and microscopy facility manager at the Princess Maxima Center in Utrecht, where he obtained his PhD and is a member of the Anne Rios group. He specializes in advancing fluorescence microscopy technologies for paediatric oncology research, particularly focusing on multispectral 3D confocal microscopy, organoid imaging, and AI-powered image analysis.

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Discover how AI-driven AIVIA software revolutionizes 3D fluorescent microscopy analysis, enabling enhanced visualization, quantification, and Python-based workflows for precise cellular insights.

In this webinar, you will learn:

• How AI imaging tools empower biologists to make discoveries
• Ways to use these tools to improve 3D fluorescent image analysis
• How AIVIA supports Python-based image analysis for microscopists

Multicolor 3D fluorescent confocal microscopy presents significant challenges in image acquisition and data analysis. However, AI is making a massive impact on 3D spatial biology.

This webinar will detail how we incorporated AIVIA, an AI-powered image analysis software, into workflows to address these challenges in analyzing multicolor fluorescent microscopy data of 3D organoids.

We will demonstrate how AIVIA’s tools enhance the visualization and quantification of cellular structures and organoids, enabling precise segmentation and analysis of fluorescent signals.

Additionally, we will showcase how AIVIA supports Python-based image analysis for microscopists.