How AI-assisted segmentation in optical, ultrasound and microCT imaging is transforming modern in vivo image data analysis

Segmentation in preclinical in vivo imaging is one of those tasks that every researcher knows takes time and even more expertise.

Whether you're working with bioluminescence, fluorescence, ultrasound, or microCT, the accuracy of your data analysis depends on how you define organs and signals. Maintaining that standard across experiments is easier said than done.

Watch this on-demand webinar for an in-depth look at how AI-assisted segmentation models in Living Image™ Synergy AI software are changing the way researchers approach in vivo imaging data analysis, not just by saving time, but helping to deliver the consistency and reliability that science demands.

Highlights:

• How AI-assisted segmentation works across 2D and 3D imaging modalities
• Real-world examples of how Living Image Synergy AI software is delivering meaningful, measurable improvements today
• Insights into where further development is still needed
• A look ahead at advanced capabilities on the horizon

For research use only. Not for use in diagnostic procedures.