platpy: A spatial-first framework for multi-layer spatial transcriptomic analysis

platpy enables precise multi-layer spatial transcriptomic analysis by treating physical coordinates as the core organizing principle, improving registration and analysis efficiency.

• Why it matters: Current tools struggle with managing complex, multi-modal spatial data across different platforms and resolutions, leading to time-consuming and error-prone workflows.
• What they did: The team developed platpy, a Python framework that stores all data types as "Channels" with spatial metadata, and provides interfaces like ViewPort and DataPort for visualization and data extraction, supporting tasks such as ROI-based binning and sub-micron alignment.
• The result: platpy streamlines spatial data analysis, enabling rapid, accurate visualization and analysis of large datasets, and complements existing tools by focusing on spatial mechanics, facilitating biological insights.