Mistic

Mistic visualizes multiplexed 2D patient-sample images using t-SNE and UMAP coordinates to facilitate exploration of biomarker expression and spatial relationships in tissues.

Key Features:

• Multiplexed image visualization: Simultaneous visualization of multiple 2D images from patient samples to provide an overview of entire datasets.
• Dimensionality reduction integration: Uses t-SNE (t-distributed Stochastic Neighbor Embedding) and UMAP (Uniform Manifold Approximation and Projection) coordinates to position images in two-dimensional space.
• Exploratory data analysis: Groups images by their t-SNE or UMAP spatial coordinates to aid identification of phenotypes, selection of images for downstream analysis, and examination of individual or grouped biomarker expression patterns.

Scientific Applications:

• Translational research: Analysis of spatial relationships within tumor tissues to support hypothesis generation in tissue-based studies.
• Cellular interaction and microenvironment analysis: Identification and analysis of specific cellular interactions and tumor microenvironment components from multiplexed images.
• Immune-oncology studies: Examination of biomarker expression patterns and spatial contexts that can inform therapeutic strategy development and tumor biology investigations.

Methodology:

Mapping images onto t-SNE or UMAP coordinates using dimensionality reduction to organize and display high-dimensional multiplexed image data in two-dimensional space.