Pancreatlas

Pancreatlas provides access to richly annotated pancreas imaging datasets and associated metadata spanning whole-slide scans, confocal microscopy, and imaging mass cytometry to support structural and phenotypic analysis across scales.

Key Features:

• Annotated imaging collections: Provides annotated images and metadata capturing pancreas structures from whole-slide scans to single-cell resolution.
• Multi-modal integration: Includes over 800 unique images acquired by whole-slide scanning, confocal microscopy, and imaging mass cytometry to enable cross-modality comparison.
• Flexible data-integration framework (FFIND): Built on FFIND, a Python-based application programming interface for integration and navigation of structured imaging data, supporting adaptation to other organs or datasets.

Scientific Applications:

• Tissue phenotyping: Enables detailed analysis of pancreatic tissue phenotypes across different health conditions.
• Comparative studies: Facilitates comparative analyses between healthy and diseased pancreas states using consistent imaging datasets.
• Data sharing and collaboration: Supports sharing of annotated imaging datasets to promote collaborative pancreas research.

Methodology:

Data management and integration are performed via FFIND, a Python-based application programming interface.