This paper introduces PIVOT, an open-source software designed to integrate diverse multi-omic spatial datasets into a single coordinate system. Traditional methods for aligning different biological images, such as transcriptomics and proteomics, often require fragmented workflows and struggle with nonlinear tissue warping. PIVOT addresses these challenges by offering a user-friendly graphical interface that combines manual fiducial point selection with automated nonlinear fine-tuning. Researchers demonstrate that this tool achieves higher accuracy than existing methods and remains robust even when users have limited time for manual alignment. Ultimately, PIVOT allows for the precise comparison of molecular signals across different scales, facilitating a deeper understanding of tissue architecture and disease.

References:

• Forjaz A, Romero V M, Reucroft I, et al. PIVOT: an open-source tool for multi-omic spatial data registration[J]. bioRxiv, 2025.