histoCAT

histoCAT performs interactive visualization and quantitative analysis of multiplexed image cytometry data to enable single-cell, spatially resolved analysis of intact tissue samples.

Key Features:

• Multiplexed image cytometry support: Operates on highly multiplexed mass cytometry images to extract multi-parameter cellular measurements.
• Single-cell spatial analysis: Facilitates single-cell, spatially resolved omics analyses within intact tissue sections.
• Cell phenotype quantification: Enables quantitative characterization of individual cell phenotypes from image-derived measurements.
• Cell–cell interaction analysis: Supports identification and quantification of cell–cell interactions within tissue context.
• Microenvironment assessment: Enables analysis of tissue microenvironments and their cellular composition.
• Morphological structure analysis: Provides analysis of morphological structures within tissue-derived image data.

Scientific Applications:

• Spatial omics studies: Applied to spatially resolved omics investigations at single-cell resolution in intact tissues.
• Tumor microenvironment analysis: Used to dissect cellular landscapes and interactions in human breast cancer tissues.
• Cellular phenotyping in situ: Supports in situ phenotyping and mapping of cell populations within tissue architecture.

Methodology:

Processes highly multiplexed mass cytometry images to extract single-cell measurements and perform spatially resolved analyses of tissue sections.