Morphodynamic Cell Profiling for Temporal Phenotypic Heterogeneity
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Solution Overview
Problem
Existing image-based phenotypic screening methods are limited in capturing intrinsic heterogeneity, environmental perturbations, and genetic alterations that generate complex, dynamic genotype-phenotype relationships, lacking standard analysis for temporal imaging and comprehensive description of instantaneous phenome states.
Innovation Solution
A method and system for characterizing morphodynamic profiles using shape, appearance, and motion (SAM) features, including dimensionality reduction, clustering, and correlation with molecular profiles, to comprehensively quantify phenotypic heterogeneity and predict phenotype-genotype-function coupling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standard image-based phenotypic screening is used, then cost-effectiveness is improved, but comprehensiveness in capturing phenotypic heterogeneity deteriorates
Solution Approach 1:
The patent segments the image analysis into multiple independent feature categories (morphological, textural, color, shape, motion features), allowing comprehensive phenotypic characterization through modular feature extraction from standard imaging data
Solution Approach 2:
The patent transitions from traditional single-timepoint analysis to multi-dimensional temporal analysis by extracting features across multiple timepoints and constructing phenotypic trajectories, adding the time dimension to phenotypic screening without requiring additional imaging modalities
2Ease of operation
If time-averaged measurements are used, then analysis simplicity is improved, but ability to capture dynamic phenotypic changes deteriorates
Solution Approach 1:
The patent implements dynamic phenotypic analysis by extracting motion features (optical flow, displacement, velocity) and temporal features (feature changes over time, phenotypic trajectories) that capture dynamic cellular behavior while maintaining systematic analysis through standardized feature extraction pipelines
3Measurement precision
If a limited number of selected biomarkers are analyzed, then measurement precision for specific phenotypes is improved, but ability to discover intrinsic heterogeneity deteriorates
Solution Approach 1:
The patent creates a universal phenotypic screening framework that extracts multiple categories of features (morphological, textural, color, shape, motion) from standard images, enabling both precise measurement of known phenotypes and unbiased discovery of novel heterogeneity through comprehensive feature sets applicable to diverse biological questions
4Loss of information
If comprehensive SAM feature extraction is performed, then phenotypic characterization completeness is improved, but computational complexity deteriorates
Solution Approach 1:
The patent segments the comprehensive feature extraction into distinct modular categories (morphological features, textural features, color features, shape features, motion features), where each category can be independently computed and combined, reducing computational complexity through structured organization of analysis tasks
Data Source
AI summary
This disclosure provides a novel method and system for characterizing morphodynamic profiles of objects, such as biological entities. This disclosure provides a shape, appearance, and motion (SAM) phenotype Observation Tool (SPOT). SPOT establishes a standardized SAM “phenome,” image descriptors resembling single-cell transcriptomes, to comprehensively quantify a cell's instantaneous state without prior knowledge. SPOT also establishes a standardized workflow for temporal analysis. SPOT is a generalist tool, applicable to any live-cell imaging and advances biomedical discovery through its standardized, unbiased, streamlined workflow to quantify phenotypic heterogeneity and predict phenotype-genotype-function coupling.