IAMSAM

IAMSAM analyzes spatial transcriptomics data using the Segment Anything Model to segment tissue images and perform downstream analysis of molecular signatures within selected regions.

Key Features:

• Image Segmentation: IAMSAM segments tissue images using the Segment Anything Model.
• Region Selection: IAMSAM enables semi-automatic selection of regions of interest based on morphological signatures.
• Differential Gene Expression: IAMSAM identifies differentially expressed genes within selected regions.
• Enrichment Analysis: IAMSAM performs enrichment analysis on selected regions.
• Cell Type Prediction: IAMSAM predicts cell types within selected regions.

Scientific Applications:

• Spatial Transcriptomics Analysis: IAMSAM enables analysis of gene expression combined with spatial information in tissue architecture.
• Tissue Heterogeneity Exploration: IAMSAM supports exploration and interpretation of heterogeneous tissues based on morphological features.

Methodology:

IAMSAM uses the Segment Anything Model for image segmentation and provides downstream analysis including differential gene expression, enrichment analysis, and cell type prediction.