Leveraging advanced image analysis using Amira Software AI capabilities for optical image segmentation

15:40 – 16:40 BST, 5 June 2024 ‐ 1 hour

Thermo Fisher Scientific

Sarwuth Wantha

On Stand Workshop - Stand 35

It is important for scientists and imaging experts to understand complex biological structures through image visualization and analysis. Imaging data can be a great tool in understanding cellular architecture and processes, however, analyzing data from multi-imaging systems and modalities can be a daunting task. Each experimental setup presents a unique challenge, and multi-scale dynamic processes require the detection of objects of various sizes, from diffraction-limited particles to entire cells. Identifying and quantifying sub-cellular structures within datasets containing anywhere from a few dozen to tens of thousands of objects, can seem overwhelming.

According to the need for analytical tools that grows significantly, researchers require image processing software that allows for fast, high-quality visualization, effective processing, and accurate data analysis to expedite their workflow.

Thermo Scientific Amira Software is a powerful comprehensive, and versatile software solution for visualizing, segmentation and understanding life science and biomedical images in such a complex biological data in 3D that would be impossible to see with 2D images alone.

Amira Software can help researchers gain an understanding deeper of image data. With its easy-to-use interface and comprehensive tools, user can streamline a workflow and spend more time doing what is best - advancing the field of optical imaging. The “visual programming” workflow is intuitive, flexible, and customizable to achieve accurate results.

Furthering its segmentation capabilities, Amira Software now includes artificial intelligence capabilities for imaging and analysis applications. These AI methods, such as deep learning, have proven to be powerful approaches for improving resolution, reducing noise, and automating segmentation. The use of AI-based Deep Learning is a major leap forward for Amira Software solutions. Our approach also guarantees that your analysis is repeatable across specimens. That means future image segmentation can be independent from manual processing or user-based variability often seen in manual annotation tasks.

During this workshop, you will learn how to:

• Accelerate subcellular detection and segmentation from imaging data using a range of readily available tools with automation and batch processing capabilities.
• Extract complex information in 3D using newly introduced segmentation tools.
• Get faster information from image data with Deep Learning Denoising tool and build recipes more quickly and easily.
• Segmentation+ workroom is now ready to accelerate your interactive segmentation of even very large datasets.
• Elevate your convex object segmentation with StarDist’s precision and efficiency.
• Access the Xtras library directly from Amira Software applications.