MassVision

MassVision integrates visualization, segmentation, and statistical analysis into an end-to-end workflow for AI-driven mass spectrometry imaging analysis.

Key Features:

• Visualization: Provides spatial and spectral data visualization for mass spectrometry imaging data.
• Segmentation: Enables tissue and region segmentation within biological samples.
• Colocalization: Supports analysis of molecular colocalization patterns in imaging data.
• Data Set Curation: Allows selection and organization of mass spectrometry imaging data sets.
• Data Set Merging: Combines multiple mass spectrometry imaging data sets for integrated analysis.
• Spectral Preprocessing: Applies preprocessing methods to spectral data prior to downstream analysis.
• Spatial Preprocessing: Applies preprocessing methods to spatial data prior to downstream analysis.
• Statistical Analysis: Performs statistical analyses on mass spectrometry imaging data.
• AI Model Training: Enables training of artificial intelligence models on mass spectrometry imaging data.
• AI Deployment: Deploys trained artificial intelligence models on full mass spectrometry imaging data sets.

Scientific Applications:

• Exploratory Data Analysis: Investigates molecular distributions and patterns in mass spectrometry imaging data.
• Ion Identification: Identifies ions and their spatial distributions within biological samples.
• Tissue-Type Classification: Classifies tissue types using artificial intelligence models trained on mass spectrometry imaging data.

Methodology:

MassVision is built on the 3D Slicer ecosystem and supports high-throughput studies and multislide data sets.