Uncovering the Future of Image Analysis - Amira Avizo 2025.1 New Version Released-Chemical Instrument Network

Thermo Scientific ™ The new version of Amira Avizo 3D visualization analysis software 2025.1 was officially released last week. The new version adds advanced 3D rendering capabilities, enhanced AI powered image segmentation capabilities, and new additional tools, aiming to significantly enhance your image analysis abilities.

The comprehensive upgrade of the new lighting system achieved by environment mapping and realistic materials brings higher levels of 3D rendering effects.
Powerful 2.5D segmentation technology can maintain structural continuity and provide more reliable image interpretation from a 3D perspective, while significantly reducing resource usage.
AI assisted selection tools can annotate the structures you are interested in faster and more accurately
The optimized segmentation technology based on artificial intelligence, with a new dynamic enhancement program, has reduced training time by 85%.
Provides a modern data chart library report workspace for comprehensive data visualization.
Additional features: Cellpose SAM is used to achieve robust and universal segmentation across different modalities, as well as AI based object classification for automatic classification and analysis.

Advanced 3D rendering

Presenting complex scenes with realistic lighting effects and clear prominent elements is a challenging task. Traditional rendering methods often flatten details, make lighting appear monotonous, and make it difficult to guide people's attention to the most important parts of the data. In the latest version, Amira Avizo offers new 3D rendering settings that bring stunning and informative visual effects. It introduces enhanced rendering techniques, wider and more precise lighting control, and precise focusing tools, allowing you to direct attention to specific data areas by adjusting the depth of field and selecting the exact focus content.

Enhanced AI empowered image segmentation

Researchers in the fields of life sciences and materials science are constantly pursuing higher imaging resolutions because many key features exist at the nanoscale, where subtle differences determine functionality, performance, and reliability. Clearer images can transform blurry shapes into measurable and quantitative data, revealing the mechanisms behind protein interactions, membrane organization, grain boundary behavior, and defect dynamics. With the increase of imaging details, image analysis must also be improved accordingly. In the latest version, Amira Avizo software implements 2.5D segmentation, maintaining structural continuity by providing more reliable image interpretation than 2D segmentation. These innovative models provide 3D environments with depth perception without requiring a large amount of image resources.

The image displays the three-dimensional structure of the thylakoid membrane. Data source: EMPIAR database 11830- doi. org/10.1101/2024.12.28.630444

With the assistance of artificial intelligence in selection,

Significant improvement in annotation speed

In order to achieve high-quality segmentation and 3D reconstruction, scientists must accurately label the structures of interest. If manual tools are used for annotation, it may consume a lot of time and be very cumbersome. The latest version of Amira Avizo software introduces a new artificial intelligence assisted selection tool that can accelerate annotation speed, thereby achieving faster conversion from raw data to results.

Efficiency improvement of AI enabled tools

And seamless smoothness in use

Building powerful segmentation models using fixed, non adaptive algorithms is quite challenging. The static enhancement method generates the same number of image cuts regardless of the content, which leads to a rigid workflow, slowing down the experimental process and affecting the experimental results. In this update, we have introduced a dynamic process that can adjust based on the region of interest you define and generate the optimal number of enhanced image blocks. By using only 15% of the training time, a model with considerable quality and performance can be trained, resulting in significant time savings. The new AI features have been implemented, including performing common model management tasks, viewing the training process in TensorBoard, evaluating models, visualizing prediction results on each region of interest, and viewing segmentation metrics.

The image displays the three-dimensional structure of rhinovirus particles infecting cancer cells visualized in Amira Avizo software, and can also be presented together with a new AI model manager. Data source: EMPIAR database -12270

Simplify the reporting process

The 'Report Workspace' has now been included in Amira Avizo 2025.1 version, allowing you to strictly control customized report templates and achieve efficient automated report generation. This new workspace makes it easier for you to convert 3D results into reliable documents, with a more effortless and consistent process.

The picture shows an example of a report.

The sample is a composite fiber used for automobiles.

Cellpose SAM and AI Object Classification

As an additional workflow

New features can be obtained with just a click and are compatible with version 2025.1. These are all free upgrade packages that can enable new or replace old workflows.

Instance segmentation Xtra: Cellpose SAM method is used to perform fast and high-quality instance segmentation on 2D images.
Classify objects in segmented data based on different features to identify their subcategories.

Example demonstration of using instance segmentation extension function on battery particles (left image)

And an example segmentation display of coated batteries (right figure).