Biomarker Spatial Proximity Analysis in Biological Tissue
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Solution Overview
Problem
Current methods fail to accurately quantify and characterize tissue oxygenation levels, particularly in diseases with vascular pathologies like cancer, due to irregular vascular function and the variability of oxygen diffusion in tissues, making it difficult to measure hypoxia and its effects on disease progression.
Innovation Solution
A computer-implemented method and system that determine the relationship between biomarker expression levels and spatial distance from morphological features in biological tissue, using image analysis and segmentation techniques to identify and visualize the expression levels of biomarkers in relation to their distance from vascular structures, enabling the characterization of tissue conditions like hypoxia.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurement of tissue oxygenation is performed in fixed surgically removed structures, then oxygenation levels can be measured, but the measurement becomes impossible due to tissue fixation and processing requirements
Solution Approach 1:
The patent uses biomarkers as intermediary indicators to indirectly measure tissue oxygenation levels. Instead of directly measuring oxygen concentration, the system detects biomarker expression patterns (such as hypoxia-inducible factors) that correlate with oxygenation status, enabling measurement in fixed tissue samples through immunohistochemistry and image analysis
2Loss of information
If quantitative spatial characterization of hypoxia is performed, then understanding of disease biology improves, but the complexity of analysis increases
Solution Approach 1:
The patent segments the tissue analysis into distinct functional components: (1) image acquisition and processing, (2) biomarker detection and quantification, (3) spatial relationship analysis, and (4) hypoxia characterization. This segmentation allows complex quantitative spatial characterization to be broken down into manageable analytical steps, improving both understanding and manageability
Solution Approach 2:
The patent transitions from traditional single-point oxygen measurement to multi-dimensional spatial analysis. By mapping biomarker expression across three-dimensional tissue architecture and calculating distances from vascular structures, the system adds spatial dimensionality to oxygenation assessment, enabling quantitative characterization of hypoxia distribution throughout tissue
3Loss of information
If spatial relationship between biomarkers and vascular features is analyzed, then characterization of tissue conditions improves, but measurement precision requirements increase
Solution Approach 1:
The patent replaces direct physical measurement of oxygen concentration with optical and immunological measurement systems. Using fluorescence microscopy, immunohistochemistry staining, and image processing algorithms, the system infers spatial relationships and oxygenation status through biomarker expression patterns rather than direct mechanical or physical sensing
Data Source
AI summary
Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.