MATISSE: An analysis protocol for combining imaging mass cytometry with fluorescence microscopy to generate...

Area of Science:

• Biomedical Engineering
• Cell Biology
• Computational Biology

Background:

• Tissue heterogeneity analysis at the single-cell level is crucial for understanding complex biological systems.
• Imaging mass cytometry (IMC) offers multiplexed proteomic profiling but faces resolution limitations for precise single-cell segmentation.
• Previous work demonstrated the potential of integrating higher-resolution fluorescence data with IMC.

Purpose of the Study:

• To provide a detailed, step-by-step workflow for the MATISSE pipeline.
• To enable high-quality single-cell segmentation and data generation using combined fluorescence and IMC.
• To facilitate the exploration of tissue heterogeneity at a single-cell level.

Main Methods:

• Development and detailed description of the MATISSE analysis pipeline.
• Integration of high-resolution fluorescence imaging with IMC data.
• Standardized staining procedures and data analysis routes for generating single-cell data.

Main Results:

• Successful demonstration of a comprehensive workflow for the MATISSE pipeline.
• Generation of high-quality single-cell segmentation from IMC data by incorporating fluorescence resolution.
• Facilitation of detailed analysis of tissue heterogeneity.

Conclusions:

• The MATISSE pipeline provides a robust solution to overcome IMC resolution limitations for single-cell analysis.
• This workflow enables researchers to achieve precise single-cell segmentation and detailed tissue heterogeneity studies.
• The protocol facilitates the generation of high-quality single-cell data for advanced biological investigations.