Meet the Amira Software team at ASBMR 2026

October 9 - 12, 2026 | Boston, Massachusetts, USA

Book your Amira Software appointment at ASBMR

 

Meet with one of our application engineers in Boston and discover how Thermo Scientific Amira Software can help streamline your pre-clinical bioimaging workflows.

 

Designed for anatomical and biomedical imaging, Amira Software brings together large data handling, ergonomic manual annotation, AI-based segmentation, and advanced analysis tools in one unified environment. It supports seamless registration and correlative analysis across multiple imaging modalities and offers semi-automated and fully automated segmentation workflows for bone research, including specialized tools for cortical and trabecular bone. For tissue analysis, it enables efficient visualization, segmentation, and quantitative analysis across complex datasets, while the DVC module helps study tissue and bone deformation under mechanical stress.

 

During your appointment, you can learn how Amira Software can help you:

  • Reduce time spent on manual image analysis
  • Improve reproducibility across your workflows
  • Work more efficiently with large and complex datasets
  • Apply automated, semi-automated, and AI-powered tools to bone and tissue studies

Book your appointment today

 

Meet the team:

Tianbo Zhai

Tianbo is an Application Specialist for Amira Software, bringing expertise in advanced image analysis and scientific workflows. At the event, he will showcase, through live demonstrations and guided walkthroughs, how Amira Software can support bone analysis, visualization, and quantitative research.


Arash Aghaei

Arash is a high-energy business professional with deep experience in the scientific industry. With a background in engineering and product management, he combines strong technical insight with a customer-focused approach to helping organizations create value. At the event, he will be a great person to speak with about Amira Software, bone analysis workflows, and how technology can support scientific and commercial goals.

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