Revvity launched its Living Image™ Synergy AI multimodal analysis software for in vivo imaging researchers. The solution provides a unified platform with AI capabilities for seamless data analysis across optical, microCT, ultrasound, and other modalities, and reduces data inconsistencies, streamlines workflows, increases throughput, and enhances reproducibility, according to Kevin Quick, vice president of platforms at the company.

“Our Living Image Synergy AI software marks a significant leap forward in preclinical imaging analysis,” said Kevin Quick, VP of platforms at Revvity.

“Tracking, monitoring, and visualizing biological processes and disease progression is central to understanding complex biology and evaluating potential therapeutics early in development,” says Quick. “By unifying disparate analysis tools and integrating AI into existing workflows, Revvity’s solution is directed towards enabling earlier insights and more consistent analysis across modalities, and greater reproducibility across studies—ultimately helping researchers move faster and with more confidence.”

The Living Image Synergy AI software centralizes analysis with a goal of eliminating the need for separate tools and enabling seamless correlation of datasets. Revvity developed this unified approach to help researchers uncover biological insights that might otherwise remain hidden when using isolated systems, continues Quick.

To further streamline workflows, the software features intuitive co-registration tools and automated processes that reduce manual tasks and analysis time. Advanced AI algorithms automate image segmentation and region-of-interest (ROI) quantification—traditionally labor-intensive and variable steps in imaging analysis. This helps support high-throughput analysis and allows researchers to monitor disease progression and assess therapeutic efficacy with greater accuracy and statistical confidence, points out Quick.

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