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On-demand webinar
Duration: 36 minutes
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Are manual image analysis workflows limiting your microscopy research?
As advanced imaging technologies generate increasingly complex 2D and 3D datasets, traditional analysis methods can become inefficient and difficult to scale. AI-driven image analysis offers a more consistent and efficient approach to processing large volumes of microscopy data.
In this on-demand webinar, learn how AI-enabled workflows can support faster, more reproducible image analysis, from segmentation to data interpretation, helping you move from raw images to meaningful biological insights.
What you will learn:
- How to reduce manual effort in image segmentation and data processing
- Ways to improve consistency and reproducibility in microscopy image analysis
- Approaches for extracting relevant insights from complex 2D and 3D datasets
- Where AI can fit into your existing microscopy workflow
About the speakers
Dr. Maximillian Voll, Product Marketing Manager, Thermo Fisher Scientific
Maximilian holds a PhD in Life Sciences with a specialization in microscopy and image processing. With several years of experience in the microscopy industry, he is currently responsible for the strategic management of Thermo Scientific Amira Software at Thermo Fisher Scientific.
Dr. Rosa Pipitone, Marketing Content Specialist, Thermo Fisher Scientific
Rosa holds a master’s degree in biotechnology and a PhD in plant biology from the University of Neuchatel and ETH Zurich. With extensive experience in life sciences research, she is now a content marketing specialist at Thermo Fisher Scientific, supporting Thermo Scientific Amira-Avizo Software.
Dr. Rachida Seghiri, Al Staff Scientist, Thermo Fisher Scientific
Rachida holds a PhD in Computer Science from CentraleSupélec, Université Paris-Saclay. With extensive experience in machine learning, she is currently a Staff AI Scientist at Thermo Fisher Scientific, where she develops deep learning models for cryo-ET image analysis.