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We are excited to showcase our wide range of image analysis solutions for light microscopy at ELMI 2025.
Request a personalized demo with our technical experts and learn about Thermo Scientific Amira Software capabilities in one of our workshops.
Join our workshops on 4 June 2025
Introduction to Amira Software image analysis and batch processing
Learn how to accelerate your image analysis workflow using Amira Software. You will explore the Image Recipe Designer for fast and efficient batch processing, enabling you to handle large datasets with ease and to improve your overall productivity.
AI-based Deep Learning segmentation
Join this session to discover how to gain faster and more accurate insights from your image data using AI-based Deep Learning segmentation. You will learn how AI methods can improve resolution, reduce noise, and automate segmentation processes, ensuring consistent and reliable results across different specimens.
Amira Software’s advanced segmentation editor
In this workshop, you will focus on leveraging the new Segmentation+ workroom in Amira Software. You will learn how to speed up your interactive segmentation, even for very large datasets. The session will demonstrate advanced tools for quick and accurate manipulation and analysis of complex biological data, enhancing your imaging workflows.
Register for a demo of Amira software
We are excited to provide live demonstrations of Amira Software during ELMI 2025. If you would like to arrange a demo, please complete this registration form, and our team will be in touch with you shortly.
Sarawuth has a PhD in Biomedical Engineering from Ludwig-Maximilians-University of Munich, specializing in fluorescence and light microscopy, X-ray CT, MRI, and electron microscopy. His expertise includes various advanced imaging techniques such as confocal, light-sheet, multi-photon, STED, and super-resolution microscopy. He has extensive experience with image analysis software, making significant contributions in the field of biomedical imaging and image processing.