We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience. You can read our Cookie Policy here.


Thermo Scientific Avizo2D Speeds Up Image Analysis with Automated, Reproducible Workflows

Avizo2D Software

Want a FREE PDF version of this product news?

Complete the form below and we will email you a PDF version of "Thermo Scientific Avizo2D Speeds Up Image Analysis with Automated, Reproducible Workflows"

Listen with
Register for FREE to listen to this article
Thank you. Listen to this article using the player above.
Read time:
Thermo Fisher Scientific has introduced the Thermo Scientific Avizo2D software, an AI-powered automated imaging and analysis software designed to help materials and life science researchers acquire fast and accurate statistics from their electron microscopy (EM) images without extensive image processing expertise. The new software, unveiled at Microscopy and Microanalysis 2019, allows scientists to build customized "recipes" or automated, reproducible workflow scripts that speed up their image analyses. The software combines deep learning models, advanced image processing technology, and modules using Python scripts and scientific tools to help researchers seamlessly analyze their EM images.

"With Avizo2D, researchers can quickly get reliable answers to challenging questions in materials and biomedical research without being image processing experts," said Mike Shafer, president of materials and structural analysis at Thermo Fisher Scientific. "The software saves hours of manual work for repeatable image analyses, enabling scientists to achieve the accurate results they need faster."

Dozens of pre-defined recipes from the Amira-Avizo Online Recipe Library can be directly used as workflow scripts or customized to meet researchers' specific analysis needs. Scientists can also combine Avizo2D with Thermo Fisher Scientific's MAPS Software, allowing them to optimize the instrument usage time and obtain instant feedback and an additional layer of understanding while the data is being collected.