MATISSE

MATISSE improves single-cell segmentation in imaging mass cytometry (IMC) by integrating high-resolution fluorescence microscopy with multiplex IMC to resolve individual cellular signals in tissue sections.

Key Features:

• Integration of Fluorescence Microscopy and IMC: MATISSE combines high-resolution fluorescence microscopy with the multiplex imaging capabilities of imaging mass cytometry (IMC) to enhance segmentation accuracy.
• Improved Segmentation Quality and Quantity: The method provides qualitative and quantitative improvements in the number and accuracy of segmented cells compared to IMC-only approaches, particularly in heterogeneous tissue sections.
• Enhanced Identification of Cellular Types: MATISSE enables more complete and precise identification of epithelial cells, fibroblasts, and infiltrating immune cells, including within densely packed cellular regions.

Scientific Applications:

• Tissue Complexity Analysis: Enables visualization and quantification of cellular heterogeneity for studies of tissue complexity, development, and physiology.
• Pathology Research: Facilitates analysis of microenvironmental dynamics in pathologies such as autoimmunity and cancer within epithelial tissues.

Methodology:

The workflow integrates commonly used open-access tools with regular fluorescence microscopy and combines high-resolution fluorescence images with multiplex IMC protein marker distributions.