Single-Cell Receptor Clonotype Visualization for Antigen Specificity

The patent combines multiple single-cell technologies (flow cytometry, CyTOF, single-cell RNA sequencing, single-cell DNA sequencing) into a unified multi-modal single-cell platform. This integration allows simultaneous measurement of numerous analytes including protein expression, gene expression, and genomic data from individual cells, achieving high-throughput characterization that overcomes the limitations of individual assays while maintaining systematic organization through integrated data analysis.

The patent implements a universal single-cell analysis platform capable of measuring multiple analytes simultaneously including protein expression, gene expression, and genomic features. The system uses standardized single-cell barcoding and multi-omic sequencing approaches that can accommodate various analytes within a unified framework, enabling high-throughput characterization of immune cell responses while managing complexity through standardized protocols and integrated data structures.

The patent incorporates preliminary computational filtering and pre-processing steps that identify and remove low-quality single-cell data before comprehensive analysis. The system performs preliminary clonotype grouping and antigen specificity prediction using machine learning algorithms that can rapidly screen large datasets, thereby reducing the time required for thorough antigen-specific population identification while maintaining measurement precision through subsequent validation steps.